Analysis of Cyber Security Attacks and Its Solutions for the Smart grid Using Machine Learning and Blockchain Methods

Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the most challenging things to stop. The biggest problem is caused by millions of sensors constantly sending and receivin...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Future internet Ročník 15; číslo 2; s. 83
Hlavní autori: Mazhar, Tehseen, Irfan, Hafiz Muhammad, Khan, Sunawar, Haq, Inayatul, Ullah, Inam, Iqbal, Muhammad, Hamam, Habib
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.02.2023
Predmet:
ISSN:1999-5903, 1999-5903
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the most challenging things to stop. The biggest problem is caused by millions of sensors constantly sending and receiving data packets over the network. Cyberattacks can compromise the smart grid’s dependability, availability, and privacy. Users, the communication network of smart devices and sensors, and network administrators are the three layers of an innovative grid network vulnerable to cyberattacks. In this study, we look at the many risks and flaws that can affect the safety of critical, innovative grid network components. Then, to protect against these dangers, we offer security solutions using different methods. We also provide recommendations for reducing the chance that these three categories of cyberattacks may occur.
AbstractList Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the most challenging things to stop. The biggest problem is caused by millions of sensors constantly sending and receiving data packets over the network. Cyberattacks can compromise the smart grid’s dependability, availability, and privacy. Users, the communication network of smart devices and sensors, and network administrators are the three layers of an innovative grid network vulnerable to cyberattacks. In this study, we look at the many risks and flaws that can affect the safety of critical, innovative grid network components. Then, to protect against these dangers, we offer security solutions using different methods. We also provide recommendations for reducing the chance that these three categories of cyberattacks may occur.
Audience Academic
Author Irfan, Hafiz Muhammad
Khan, Sunawar
Iqbal, Muhammad
Mazhar, Tehseen
Haq, Inayatul
Hamam, Habib
Ullah, Inam
Author_xml – sequence: 1
  givenname: Tehseen
  orcidid: 0000-0002-4649-2376
  surname: Mazhar
  fullname: Mazhar, Tehseen
– sequence: 2
  givenname: Hafiz Muhammad
  surname: Irfan
  fullname: Irfan, Hafiz Muhammad
– sequence: 3
  givenname: Sunawar
  surname: Khan
  fullname: Khan, Sunawar
– sequence: 4
  givenname: Inayatul
  orcidid: 0000-0001-7073-733X
  surname: Haq
  fullname: Haq, Inayatul
– sequence: 5
  givenname: Inam
  surname: Ullah
  fullname: Ullah, Inam
– sequence: 6
  givenname: Muhammad
  surname: Iqbal
  fullname: Iqbal, Muhammad
– sequence: 7
  givenname: Habib
  orcidid: 0000-0002-5320-1012
  surname: Hamam
  fullname: Hamam, Habib
BookMark eNptUU1vGyEURFUqJU1yyS9A6q2SE1h2YTm6Vj8sOcrBzRm95cPG2UAK7MH_PrhbpVVVOPD0mJk3MB_QWYjBInRDyS1jktw5TzvSENKzd-iCSikXnSTs7K_6HF3nfCB1MdlwLi7QtAwwHrPPODq8Og424a3VU_LliJelgH7KGILB65LxNo5T8TFk7GLCZW_x9hlSwbvkDX7MPuzwPei9DxZvLKRwapy4n8eon_QefMD3tuyjyVfovYMx2-vf5yV6_Prlx-r7YvPwbb1abha6JaQsuJFuML2ufo2AQXItGgDGuO5NY5geGipsKzVjum2ZZLxvdb1um4a63vacXaL1rGsiHNRL8tXvUUXw6lcjpp2qD_B6tAp6IygIaTvuWsPlYIeOctE7Jlpbx1Wtj7PWS4o_J5uLOsQp1d_LqhFCdowzQSrqdkbtoIr64GJJoOs29tnrmpfztb8UHZW0mwmfZoJOMedk3ZtNStQpVvUn1gom_4C1L3DKpE7x4_8orwYVpUs
CitedBy_id crossref_primary_10_1038_s41598_025_04164_4
crossref_primary_10_2174_0123520965288815240424054237
crossref_primary_10_1007_s43926_024_00078_1
crossref_primary_10_1038_s41598_025_05257_w
crossref_primary_10_1080_03610926_2025_2483289
crossref_primary_10_1002_ett_70116
crossref_primary_10_1109_ACCESS_2025_3552062
crossref_primary_10_1177_14727978251371175
crossref_primary_10_1007_s00202_025_03290_6
crossref_primary_10_1016_j_segan_2025_101794
crossref_primary_10_2478_ias_2024_0015
crossref_primary_10_3390_s23146281
crossref_primary_10_3390_su151712830
crossref_primary_10_3390_fi16010009
crossref_primary_10_3390_s23167125
crossref_primary_10_1109_ACCESS_2023_3286536
crossref_primary_10_3390_s23177628
crossref_primary_10_1038_s41598_024_68529_x
crossref_primary_10_1038_s41598_025_93549_6
crossref_primary_10_1016_j_brainres_2023_148673
crossref_primary_10_1177_14604582251339422
crossref_primary_10_1016_j_eij_2025_100648
crossref_primary_10_3390_en16104025
crossref_primary_10_1007_s42452_025_07506_z
crossref_primary_10_1007_s42979_024_03240_2
crossref_primary_10_1038_s41598_025_85547_5
crossref_primary_10_1016_j_apenergy_2025_126118
crossref_primary_10_1038_s41598_024_74733_6
crossref_primary_10_1007_s10586_025_05467_x
crossref_primary_10_1016_j_meaene_2024_100031
crossref_primary_10_1109_ACCESS_2024_3515635
crossref_primary_10_3390_en16165963
crossref_primary_10_1007_s12083_025_02034_4
crossref_primary_10_1016_j_heliyon_2024_e37571
crossref_primary_10_1109_ACCESS_2024_3355312
crossref_primary_10_1016_j_egyr_2023_12_040
crossref_primary_10_1080_23311916_2023_2272358
crossref_primary_10_1007_s11235_025_01308_9
crossref_primary_10_1007_s12083_024_01819_3
crossref_primary_10_1109_ACCESS_2024_3370239
crossref_primary_10_1016_j_comcom_2024_108000
crossref_primary_10_1007_s12083_025_02070_0
crossref_primary_10_1007_s42979_025_04332_3
crossref_primary_10_3390_en18010141
crossref_primary_10_1016_j_cosrev_2024_100617
crossref_primary_10_1007_s00202_025_03044_4
crossref_primary_10_1016_j_dcan_2025_06_007
crossref_primary_10_3390_network3030017
crossref_primary_10_3390_su17094073
crossref_primary_10_1109_MNET_2025_3580477
crossref_primary_10_1007_s43621_024_00474_1
crossref_primary_10_1016_j_heliyon_2024_e37980
crossref_primary_10_1038_s41598_024_70835_3
crossref_primary_10_3390_en17040915
crossref_primary_10_1007_s11227_025_07422_4
crossref_primary_10_1007_s43926_024_00088_z
crossref_primary_10_1007_s10586_024_04964_9
crossref_primary_10_3390_urbansci9090380
crossref_primary_10_1177_15485129251346504
crossref_primary_10_1007_s10462_025_11211_z
crossref_primary_10_1016_j_aej_2025_03_068
crossref_primary_10_1007_s12083_025_01981_2
crossref_primary_10_1016_j_chbr_2025_100668
crossref_primary_10_1007_s44163_025_00248_2
crossref_primary_10_3390_math11183939
crossref_primary_10_7717_peerj_cs_1840
crossref_primary_10_1007_s43621_024_00638_z
crossref_primary_10_1007_s43926_025_00123_7
crossref_primary_10_1016_j_compeleceng_2025_110486
crossref_primary_10_1016_j_heliyon_2024_e35167
crossref_primary_10_1038_s41598_025_03688_z
crossref_primary_10_1145_3735662
Cites_doi 10.1109/JSEN.2021.3055778
10.3390/s21238087
10.14236/ewic/icscsr19.16
10.1109/78.650098
10.1109/JIOT.2020.2993601
10.3390/bdcc4010001
10.1186/s40537-020-00379-6
10.1109/JIOT.2021.3128646
10.1007/s11227-020-03600-8
10.1109/TSG.2017.2786668
10.4236/cn.2022.144009
10.1109/TNSE.2021.3135565
10.1155/2022/3151249
10.1016/j.energy.2021.122713
10.1109/TII.2022.3149106
10.3390/electronics6010005
10.1109/ISGT-Europe47291.2020.9248779
10.1186/s40537-019-0211-6
10.1109/INFOCOM42981.2021.9488823
10.1016/j.ijcip.2022.100547
10.1109/BLOC.2019.8751268
10.1016/j.ijhydene.2021.10.027
10.3390/en16010347
10.1016/j.jobe.2022.104323
10.1016/j.rser.2021.111530
10.3390/sym13010004
10.1109/ACCESS.2021.3094024
10.1049/iet-cps.2016.0019
10.1016/j.energy.2020.117417
10.3390/en12173310
10.3390/en16020635
10.1109/AIIoT54504.2022.9817309
10.1109/RAIT.2018.8389037
10.1109/SoutheastCon45413.2021.9401940
10.1109/ACCESS.2020.3026180
10.1016/j.ijcip.2022.100542
10.1109/ACCESS.2018.2836950
10.23919/WAC55640.2022.9934344
10.1109/MSCPES.2019.8738801
10.1016/j.gltp.2022.03.017
10.1049/stg2.12090
10.3390/jcp1010011
10.1109/TSG.2012.2223766
10.1016/j.energy.2022.123927
10.1016/j.ijcip.2021.100457
10.3390/jcp2030027
10.3390/app12136498
10.3390/info11050279
10.1016/j.cam.2020.112723
10.1007/s00450-017-0360-9
10.1109/JSYST.2021.3136683
10.1016/j.compeleceng.2021.107211
10.3390/smartcities5020038
10.3390/app10103430
10.3390/su12166434
10.1007/978-3-030-05918-7_20
10.1109/ICCED.2018.00052
10.3390/app9153174
10.1109/TCNS.2022.3141026
10.1007/s00607-021-01047-0
10.1109/TIFS.2017.2676721
10.1109/CCC.2019.000-6
10.4236/jsea.2022.1512024
10.1038/s41597-022-01455-7
10.1109/TCOMM.2014.2346775
10.1049/stg2.12070
10.3390/electronics12010242
10.1007/978-981-15-1706-8
10.1109/CED.2017.8308116
10.5121/csit.2020.102004
10.1007/s11036-020-01634-z
10.1016/j.scs.2021.103116
10.3390/en15186799
10.1109/JESTPE.2020.2968243
10.1109/NAPS52732.2021.9654767
10.1016/j.comnet.2019.107094
10.1109/UEMCON54665.2022.9965631
10.1109/ACCESS.2018.2835527
10.1109/SMC42975.2020.9282837
10.3390/su141610230
10.1016/j.jnca.2020.102767
10.1109/SmartGridComm52983.2022.9961017
10.3390/en16010409
10.1002/widm.1306
10.1109/ICICCT.2018.8473340
10.1109/IECON.2019.8926992
10.1109/TSG.2022.3185764
10.1016/j.asoc.2018.06.017
10.3390/app11219972
10.1109/Innovate-Data.2018.00014
10.1109/LGRS.2022.3175836
10.1109/ACCESS.2019.2923640
10.1016/j.jfranklin.2019.02.011
10.3390/en13184907
10.1145/1390156.1390189
10.1109/ACCESS.2019.2894819
10.20944/preprints202107.0120.v1
10.1007/978-981-15-6318-8_42
10.1016/j.egypro.2018.12.075
10.1007/s11277-019-06274-5
10.1109/TSG.2018.2878570
10.3390/s19224862
10.1109/JESTIE.2022.3198504
10.1109/ICOSEC49089.2020.9215232
10.3390/en16010528
10.1155/2020/8890306
10.1016/j.jpdc.2021.03.011
10.1155/2022/7319010
10.1109/RWEEK.2017.8088642
10.1016/j.ijepes.2022.108798
10.3390/info11050243
10.1016/j.compeleceng.2021.107299
10.3390/s18010162
10.2139/ssrn.4074646
10.1145/3029806.3029823
10.3390/en11081973
10.1007/978-981-16-3607-3
10.1109/NAECON.2016.7856831
10.3390/s22134826
10.1016/j.future.2022.01.017
10.3390/math10162852
10.1109/WETICE49692.2020.00045
10.14569/IJACSA.2018.090354
10.1016/j.rser.2015.09.077
10.1109/ACCESS.2021.3058628
10.1109/WCNC.2018.8377010
10.1109/WPMC50192.2020.9309494
10.1016/j.epsr.2022.108975
10.1002/spy2.285
10.1109/TSG.2016.2521339
10.1145/3297156.3297230
10.1016/j.apenergy.2021.117129
10.1016/j.measurement.2019.107450
10.1007/s41635-018-0063-0
10.3390/app12157882
10.1145/3264888.3264896
10.1109/CYBER46603.2019.9066680
10.1016/j.asoc.2020.106658
10.17148/IJARCCE.2017.6497
10.3390/s20185305
10.1109/ACCESS.2019.2920682
10.1109/ICACCI.2017.8126031
10.3390/su14148801
10.1109/IECON.2017.8217069
10.1016/j.jisa.2020.102722
10.1016/j.rser.2019.03.002
10.1109/IECON.2018.8591401
10.1109/TSG.2021.3067896
10.1002/ett.4360
10.1016/j.ijepes.2019.105643
10.1109/EIT.2018.8500086
10.1109/ACCESS.2021.3049216
10.1109/TSG.2019.2928168
10.1109/TITS.2020.3025875
ContentType Journal Article
Copyright COPYRIGHT 2023 MDPI AG
2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2023 MDPI AG
– notice: 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
3V.
7SC
7WY
7WZ
7XB
87Z
8AL
8FD
8FE
8FG
8FK
8FL
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BEZIV
BGLVJ
CCPQU
DWQXO
FRNLG
F~G
GNUQQ
HCIFZ
JQ2
K60
K6~
K7-
L.-
L7M
L~C
L~D
M0C
M0N
P5Z
P62
PHGZM
PHGZT
PIMPY
PKEHL
PQBIZ
PQBZA
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
Q9U
DOA
DOI 10.3390/fi15020083
DatabaseName CrossRef
ProQuest Central (Corporate)
Computer and Information Systems Abstracts
ABI/INFORM Collection
ABI/INFORM Global (PDF only)
ProQuest Central (purchase pre-March 2016)
ABI/INFORM Collection
Computing Database (Alumni Edition)
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central (Alumni) (purchase pre-March 2016)
ABI/INFORM Collection (Alumni)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
Advanced Technologies & Computer Science Collection
ProQuest Central Essentials
ProQuest Central
Business Premium Collection
Technology Collection
ProQuest One Community College
ProQuest Central
Business Premium Collection (Alumni)
ABI/INFORM Global (Corporate)
ProQuest Central Student
SciTech Premium Collection
ProQuest Computer Science Collection
ProQuest Business Collection (Alumni Edition)
ProQuest Business Collection
Computer Science Database
ABI/INFORM Professional Advanced
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
ABI/INFORM Global
Computing Database
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Business (OCUL)
ProQuest One Business (Alumni)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
ABI/INFORM Global (Corporate)
ProQuest Business Collection (Alumni Edition)
ProQuest One Business
Computer Science Database
ProQuest Central Student
Technology Collection
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest Central China
ABI/INFORM Complete
ProQuest Central
ABI/INFORM Professional Advanced
ProQuest One Applied & Life Sciences
ProQuest Central Korea
ProQuest Central (New)
Advanced Technologies Database with Aerospace
ABI/INFORM Complete (Alumni Edition)
Advanced Technologies & Aerospace Collection
Business Premium Collection
ABI/INFORM Global
ProQuest Computing
ABI/INFORM Global (Alumni Edition)
ProQuest Central Basic
ProQuest Computing (Alumni Edition)
ProQuest One Academic Eastern Edition
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Business Collection
Computer and Information Systems Abstracts Professional
Advanced Technologies & Aerospace Database
ProQuest One Academic UKI Edition
ProQuest One Business (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
Business Premium Collection (Alumni)
DatabaseTitleList Publicly Available Content Database

CrossRef

Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: PIMPY
  name: Publicly Available Content Database
  url: http://search.proquest.com/publiccontent
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1999-5903
ExternalDocumentID oai_doaj_org_article_a8d71a79e56f4d69beb51678f374e8d2
A751915370
10_3390_fi15020083
GroupedDBID -DT
.4I
5VS
7WY
8FE
8FG
8FL
AADQD
AAFWJ
AAKPC
AAYXX
ABDBF
ABUWG
ACIHN
ADBBV
ADMLS
AEAQA
AFFHD
AFKRA
AFPKN
AFZYC
ALMA_UNASSIGNED_HOLDINGS
ARAPS
AZQEC
BCNDV
BENPR
BEZIV
BGLVJ
BPHCQ
CCPQU
CITATION
DWQXO
E3Z
EAP
EBS
EJD
ESX
FRNLG
GNUQQ
GROUPED_DOAJ
HCIFZ
IAO
ICD
ITC
K60
K6V
K6~
K7-
KQ8
M0C
MODMG
M~E
OK1
P62
PHGZM
PHGZT
PIMPY
PQBIZ
PQBZA
PQGLB
PQQKQ
PROAC
RNS
TR2
3V.
7SC
7XB
8AL
8FD
8FK
ACUHS
JQ2
L.-
L7M
L~C
L~D
M0N
PKEHL
PQEST
PQUKI
PRINS
Q9U
ID FETCH-LOGICAL-c400t-6d9fbd8c000d7ab96c72aa336c8d2d3cb217e49c33c44393684ca334221f8e863
IEDL.DBID DOA
ISICitedReferencesCount 81
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000945237700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 1999-5903
IngestDate Fri Oct 03 12:24:13 EDT 2025
Fri Jul 25 21:02:33 EDT 2025
Tue Nov 04 17:21:02 EST 2025
Tue Nov 18 22:12:57 EST 2025
Sat Nov 29 07:16:40 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c400t-6d9fbd8c000d7ab96c72aa336c8d2d3cb217e49c33c44393684ca334221f8e863
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ORCID 0000-0001-7073-733X
0000-0002-4649-2376
0000-0002-5320-1012
OpenAccessLink https://doaj.org/article/a8d71a79e56f4d69beb51678f374e8d2
PQID 2779536370
PQPubID 2032396
ParticipantIDs doaj_primary_oai_doaj_org_article_a8d71a79e56f4d69beb51678f374e8d2
proquest_journals_2779536370
gale_infotracacademiconefile_A751915370
crossref_primary_10_3390_fi15020083
crossref_citationtrail_10_3390_fi15020083
PublicationCentury 2000
PublicationDate 2023-02-01
PublicationDateYYYYMMDD 2023-02-01
PublicationDate_xml – month: 02
  year: 2023
  text: 2023-02-01
  day: 01
PublicationDecade 2020
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Future internet
PublicationYear 2023
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References ref_137
ref_93
ref_136
ref_92
ref_139
ref_91
ref_138
Deepa (ref_29) 2022; 131
Ullah (ref_119) 2021; 9
Giraldo (ref_86) 2016; 8
ref_14
Mantas (ref_174) 2017; 238
ref_13
ref_12
ref_11
Huda (ref_115) 2018; 71
ref_98
ref_133
Kishore (ref_81) 2017; 6
Sun (ref_90) 2021; 9
ref_135
Long (ref_161) 2019; 159
ref_95
ref_134
Bertone (ref_28) 2020; 3
ref_19
ref_18
Ravipati (ref_128) 2019; 11
ref_17
Mohammadi (ref_36) 2022; 3
ref_16
ref_15
Musleh (ref_61) 2019; 7
Gao (ref_130) 2019; 7
Ahl (ref_66) 2019; 107
Chen (ref_94) 2022; 18
Lin (ref_118) 1997; 45
Tian (ref_143) 2021; 9
ref_126
ref_125
ref_127
ref_129
Sarker (ref_169) 2019; 6
ref_25
ref_24
ref_120
ref_22
Ahsan (ref_170) 2021; 1
ref_122
ref_20
ref_121
ref_124
ref_123
ref_27
ref_26
Zhang (ref_48) 2022; 27
ref_159
ref_71
ref_158
Cai (ref_153) 2022; 47
Morstyn (ref_162) 2018; 10
Siano (ref_3) 2016; 53
ref_79
ref_78
ref_77
ref_76
ref_155
ref_154
ref_74
ref_157
ref_156
Ahsan (ref_73) 2022; 2
Tan (ref_89) 2017; 12
ref_160
Moustafa (ref_97) 2022; 19
Ding (ref_83) 2014; 62
Kaur (ref_150) 2021; 77
ref_147
ref_80
ref_149
Zheng (ref_99) 2022; 9
ref_140
ref_142
ref_141
ref_144
Mollah (ref_9) 2020; 8
ref_85
Habibi (ref_117) 2020; 9
ref_84
ref_145
Fakiha (ref_75) 2021; 11
Zhang (ref_88) 2019; 11
Geetha (ref_82) 2016; 3
Kocher (ref_131) 2020; 10
Kjamilji (ref_177) 2021; 9
ref_50
Li (ref_34) 2022; 38
ref_58
ref_173
ref_57
ref_172
ref_56
ref_175
ref_55
ref_54
Acharya (ref_31) 2021; 12
ref_176
ref_52
ref_179
ref_51
ref_178
Zhang (ref_60) 2021; 9
ref_180
ref_59
Sheatsley (ref_111) 2021; 21
Kurt (ref_41) 2018; 10
Singh (ref_152) 2022; 12
Seven (ref_164) 2020; 8
Zamponi (ref_21) 2022; 5
Tran (ref_151) 2022; 104
Jaiswal (ref_6) 2022; 3
Takiddin (ref_10) 2022; 16
Mengelkamp (ref_72) 2018; 33
ref_68
ref_67
ref_163
ref_65
Saber (ref_96) 2022; 13
ref_166
ref_64
ref_165
ref_63
ref_168
Uludag (ref_23) 2021; 358
ref_62
ref_167
Mekni (ref_148) 2022; 15
ref_171
Ahmed (ref_42) 2018; 6
ref_114
Liu (ref_146) 2022; 9
Hossain (ref_69) 2019; 7
ref_35
ref_33
ref_32
ref_110
ref_30
ref_113
ref_112
Maharjan (ref_87) 2013; 4
ref_39
ref_38
Javed (ref_108) 2020; 22
ref_37
Starke (ref_53) 2022; 5
ref_104
He (ref_106) 2016; 1
ref_105
Prasad (ref_70) 2019; 106
ref_109
ref_47
ref_46
Xin (ref_107) 2018; 6
Nguyen (ref_116) 2021; 153
ref_45
ref_44
ref_43
ref_100
ref_102
Konstantinou (ref_103) 2019; 3
ref_40
ref_101
ref_1
ref_2
ref_49
ref_8
Kasongo (ref_132) 2020; 7
ref_5
ref_4
ref_7
References_xml – volume: 21
  start-page: 9994
  year: 2021
  ident: ref_111
  article-title: Improving radioactive material localization by leveraging cyber-security model optimizations
  publication-title: IEEE Sens. J.
  doi: 10.1109/JSEN.2021.3055778
– ident: ref_4
  doi: 10.3390/s21238087
– volume: 19
  start-page: 995
  year: 2022
  ident: ref_97
  article-title: Privacy-Preserved Generative Network for Trustworthy Anomaly Detection in Smart Grids: A Federated Semisupervised Approach
  publication-title: IEEE Trans. Ind. Inform.
– ident: ref_74
– ident: ref_138
  doi: 10.14236/ewic/icscsr19.16
– volume: 45
  start-page: 2719
  year: 1997
  ident: ref_118
  article-title: A delay damage model selection algorithm for NARX neural networks
  publication-title: IEEE Trans. Signal Process.
  doi: 10.1109/78.650098
– volume: 8
  start-page: 18
  year: 2020
  ident: ref_9
  article-title: Blockchain for future smart grid: A comprehensive survey
  publication-title: IEEE Internet Things J.
  doi: 10.1109/JIOT.2020.2993601
– ident: ref_39
  doi: 10.3390/bdcc4010001
– volume: 7
  start-page: 105
  year: 2020
  ident: ref_132
  article-title: Performance analysis of intrusion detection systems using a feature selection method on the UNSW-NB15 dataset
  publication-title: J. Big Data
  doi: 10.1186/s40537-020-00379-6
– volume: 9
  start-page: 11365
  year: 2021
  ident: ref_90
  article-title: Data poisoning attacks on federated machine learning
  publication-title: IEEE Internet Things J.
  doi: 10.1109/JIOT.2021.3128646
– volume: 77
  start-page: 9202
  year: 2021
  ident: ref_150
  article-title: A systematic study of load balancing approaches in the fog computing environment
  publication-title: J. Supercomput.
  doi: 10.1007/s11227-020-03600-8
– volume: 10
  start-page: 2026
  year: 2018
  ident: ref_162
  article-title: Bilateral contract networks for peer-to-peer energy trading
  publication-title: IEEE Trans. Smart Grid
  doi: 10.1109/TSG.2017.2786668
– ident: ref_175
– ident: ref_14
  doi: 10.4236/cn.2022.144009
– volume: 9
  start-page: 807
  year: 2021
  ident: ref_143
  article-title: Adversarial attacks and defense for CNN based power quality recognition in smart grid
  publication-title: IEEE Trans. Netw. Sci. Eng.
  doi: 10.1109/TNSE.2021.3135565
– ident: ref_149
  doi: 10.1155/2022/3151249
– volume: 3
  start-page: 208
  year: 2020
  ident: ref_28
  article-title: Artificial intelligence techniques to prevent cyber attacks on smart grids
  publication-title: Ann. Disaster Risk Sci. ADRS
– ident: ref_168
  doi: 10.1016/j.energy.2021.122713
– volume: 18
  start-page: 8467
  year: 2022
  ident: ref_94
  article-title: Data-driven detection of stealthy false data injection attack against power system state estimation
  publication-title: IEEE Trans. Ind. Inform.
  doi: 10.1109/TII.2022.3149106
– ident: ref_59
  doi: 10.3390/electronics6010005
– ident: ref_54
  doi: 10.1109/ISGT-Europe47291.2020.9248779
– volume: 6
  start-page: 49
  year: 2019
  ident: ref_169
  article-title: Recencyminer: Mining recency-based personalized behavior from contextual smartphone data
  publication-title: J. Big Data
  doi: 10.1186/s40537-019-0211-6
– ident: ref_147
  doi: 10.1109/INFOCOM42981.2021.9488823
– ident: ref_16
  doi: 10.1016/j.ijcip.2022.100547
– ident: ref_163
  doi: 10.1109/BLOC.2019.8751268
– volume: 47
  start-page: 443
  year: 2022
  ident: ref_153
  article-title: Integration of hydrogen storage system and wind generation in power systems under demand response program: A novel p-robust stochastic programming
  publication-title: Int. J. Hydrog. Energy
  doi: 10.1016/j.ijhydene.2021.10.027
– ident: ref_20
  doi: 10.3390/en16010347
– ident: ref_47
  doi: 10.1016/j.jobe.2022.104323
– ident: ref_22
  doi: 10.1016/j.rser.2021.111530
– ident: ref_127
  doi: 10.3390/sym13010004
– ident: ref_114
– volume: 9
  start-page: 103906
  year: 2021
  ident: ref_119
  article-title: Design and development of a deep learning-based model for anomaly detection in IoT networks
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2021.3094024
– ident: ref_62
– volume: 1
  start-page: 13
  year: 2016
  ident: ref_106
  article-title: Cyber-physical attacks and defences in the smart grid: A survey
  publication-title: IET Cyber-Phys. Syst. Theory Appl.
  doi: 10.1049/iet-cps.2016.0019
– ident: ref_165
  doi: 10.1016/j.energy.2020.117417
– ident: ref_142
  doi: 10.3390/en12173310
– ident: ref_49
  doi: 10.3390/en16020635
– ident: ref_37
  doi: 10.1109/AIIoT54504.2022.9817309
– ident: ref_77
  doi: 10.1109/RAIT.2018.8389037
– ident: ref_30
  doi: 10.1109/SoutheastCon45413.2021.9401940
– volume: 8
  start-page: 175713
  year: 2020
  ident: ref_164
  article-title: Peer-to-peer energy trading in virtual power plant based on blockchain smart contracts
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2020.3026180
– ident: ref_38
  doi: 10.1016/j.ijcip.2022.100542
– volume: 6
  start-page: 35365
  year: 2018
  ident: ref_107
  article-title: Machine learning and deep learning methods for cybersecurity
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2836950
– ident: ref_46
  doi: 10.23919/WAC55640.2022.9934344
– ident: ref_84
  doi: 10.1109/MSCPES.2019.8738801
– volume: 3
  start-page: 311
  year: 2022
  ident: ref_6
  article-title: Modeling & designing of smart energy meter for smart grid applications
  publication-title: Glob. Transit. Proc.
  doi: 10.1016/j.gltp.2022.03.017
– ident: ref_7
  doi: 10.1049/stg2.12090
– volume: 1
  start-page: 199
  year: 2021
  ident: ref_170
  article-title: Enhancing machine learning prediction in cybersecurity using dynamic feature selector
  publication-title: J. Cybersecur. Priv.
  doi: 10.3390/jcp1010011
– volume: 4
  start-page: 120
  year: 2013
  ident: ref_87
  article-title: Dependable demand response management in the smart grid: A Stackelberg game approach
  publication-title: IEEE Trans. Smart Grid
  doi: 10.1109/TSG.2012.2223766
– ident: ref_154
  doi: 10.1016/j.energy.2022.123927
– ident: ref_27
  doi: 10.1016/j.ijcip.2021.100457
– volume: 2
  start-page: 527
  year: 2022
  ident: ref_73
  article-title: Cybersecurity threats and their mitigation approaches using Machine Learning—A Review
  publication-title: J. Cybersecur. Priv.
  doi: 10.3390/jcp2030027
– ident: ref_134
– ident: ref_100
  doi: 10.3390/app12136498
– ident: ref_121
  doi: 10.3390/info11050279
– ident: ref_157
  doi: 10.1016/j.cam.2020.112723
– volume: 33
  start-page: 207
  year: 2018
  ident: ref_72
  article-title: A blockchain-based smart grid: Towards sustainable local energy markets
  publication-title: Comput. Sci.-Res. Dev.
  doi: 10.1007/s00450-017-0360-9
– ident: ref_92
– volume: 16
  start-page: 4106
  year: 2022
  ident: ref_10
  article-title: Deep autoencoder-based anomaly detection of electricity theft cyberattacks in smart grids
  publication-title: IEEE Syst. J.
  doi: 10.1109/JSYST.2021.3136683
– ident: ref_45
  doi: 10.1016/j.compeleceng.2021.107211
– volume: 5
  start-page: 728
  year: 2022
  ident: ref_21
  article-title: The Dual Role of Artificial Intelligence in Developing Smart Cities
  publication-title: Smart Cities
  doi: 10.3390/smartcities5020038
– ident: ref_112
  doi: 10.3390/app10103430
– ident: ref_91
  doi: 10.3390/su12166434
– ident: ref_137
  doi: 10.1007/978-3-030-05918-7_20
– ident: ref_78
  doi: 10.1109/ICCED.2018.00052
– volume: 238
  start-page: 80
  year: 2017
  ident: ref_174
  article-title: The hazards of data mining in healthcare
  publication-title: Inform. Empower. Healthc. Transform.
– ident: ref_109
  doi: 10.3390/app9153174
– volume: 9
  start-page: 1238
  year: 2022
  ident: ref_146
  article-title: Relentless false data injection attacks against Kalman-filter-based detection in smart grid
  publication-title: IEEE Trans. Control Netw. Syst.
  doi: 10.1109/TCNS.2022.3141026
– ident: ref_25
– volume: 104
  start-page: 1285
  year: 2022
  ident: ref_151
  article-title: Virtual machine migration policy for multi-tier application in cloud computing based on Q-learning algorithm
  publication-title: Computing
  doi: 10.1007/s00607-021-01047-0
– volume: 12
  start-page: 1609
  year: 2017
  ident: ref_89
  article-title: Modeling and mitigating impact of false data injection attacks on automatic generation control
  publication-title: IEEE Trans. Inf. Secur.
  doi: 10.1109/TIFS.2017.2676721
– ident: ref_141
  doi: 10.1109/CCC.2019.000-6
– volume: 15
  start-page: 417
  year: 2022
  ident: ref_148
  article-title: Reinforcement Learning Toolkits for Gaming: A Comparative Qualitative Analysis
  publication-title: J. Softw. Eng. Appl.
  doi: 10.4236/jsea.2022.1512024
– volume: 9
  start-page: 359
  year: 2022
  ident: ref_99
  article-title: A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids
  publication-title: Sci. Data
  doi: 10.1038/s41597-022-01455-7
– volume: 62
  start-page: 3129
  year: 2014
  ident: ref_83
  article-title: Robust spectrum sensing with crowd sensors
  publication-title: IEEE Trans. Commun.
  doi: 10.1109/TCOMM.2014.2346775
– volume: 5
  start-page: 398
  year: 2022
  ident: ref_53
  article-title: Cross-layered distributed data-driven framework for enhanced smart grid cyber-physical security
  publication-title: IET Smart Grid
  doi: 10.1049/stg2.12070
– volume: 11
  start-page: 1
  year: 2019
  ident: ref_128
  article-title: Intrusion detection system classification using different machine learning algorithms on KDD-99 and NSL-KDD datasets-a review paper
  publication-title: Int. J. Comput. Sci. Inf. Technol. (IJCSIT)
– ident: ref_19
  doi: 10.3390/electronics12010242
– ident: ref_95
– ident: ref_179
  doi: 10.1007/978-981-15-1706-8
– ident: ref_80
  doi: 10.1109/CED.2017.8308116
– volume: 10
  start-page: 31
  year: 2020
  ident: ref_131
  article-title: Performance analysis of machine learning classifiers for intrusion detection using unsw-nb15 dataset
  publication-title: Comput. Sci. Inf. Technol.(CS IT)
  doi: 10.5121/csit.2020.102004
– volume: 12
  start-page: 1
  year: 2022
  ident: ref_152
  article-title: An adaptive mechanism for virtual machine migration in the cloud environment
  publication-title: Int. J. Cloud Appl. Comput. (IJCAC)
– volume: 27
  start-page: 329
  year: 2022
  ident: ref_48
  article-title: Jamming-resilient backup nodes selection for RPL-based routing in smart grid AMI networks
  publication-title: Mob. Netw. Appl.
  doi: 10.1007/s11036-020-01634-z
– ident: ref_55
  doi: 10.1016/j.scs.2021.103116
– ident: ref_1
  doi: 10.3390/en15186799
– volume: 9
  start-page: 5294
  year: 2020
  ident: ref_117
  article-title: Detection of false data injection cyber-attacks in DC microgrids based on recurrent neural networks
  publication-title: IEEE J. Emerg. Sel. Top. Power Electron.
  doi: 10.1109/JESTPE.2020.2968243
– ident: ref_24
  doi: 10.1109/NAPS52732.2021.9654767
– ident: ref_57
  doi: 10.1016/j.comnet.2019.107094
– ident: ref_113
– ident: ref_51
  doi: 10.1109/UEMCON54665.2022.9965631
– volume: 6
  start-page: 27518
  year: 2018
  ident: ref_42
  article-title: Feature selection–based detection of covert cyber deception assaults in smart grid communications networks using machine learning
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2018.2835527
– ident: ref_144
  doi: 10.1109/SMC42975.2020.9282837
– ident: ref_18
  doi: 10.3390/su141610230
– ident: ref_136
  doi: 10.1016/j.jnca.2020.102767
– ident: ref_15
  doi: 10.1109/SmartGridComm52983.2022.9961017
– ident: ref_5
  doi: 10.3390/en16010409
– ident: ref_93
  doi: 10.1002/widm.1306
– ident: ref_180
– ident: ref_125
  doi: 10.1109/ICICCT.2018.8473340
– ident: ref_102
  doi: 10.1109/IECON.2019.8926992
– volume: 13
  start-page: 4787
  year: 2022
  ident: ref_96
  article-title: Anomaly-Based Detection of Cyberattacks on Line Current Differential Relays
  publication-title: IEEE Trans. Smart Grid
  doi: 10.1109/TSG.2022.3185764
– volume: 71
  start-page: 66
  year: 2018
  ident: ref_115
  article-title: Securing the operations in SCADA-IoT platform based industrial control system using ensemble of deep belief networks
  publication-title: Appl. Soft Comput.
  doi: 10.1016/j.asoc.2018.06.017
– ident: ref_58
  doi: 10.3390/app11219972
– ident: ref_44
  doi: 10.1109/Innovate-Data.2018.00014
– ident: ref_98
  doi: 10.1109/LGRS.2022.3175836
– volume: 7
  start-page: 82512
  year: 2019
  ident: ref_130
  article-title: An adaptive ensemble machine learning model for intrusion detection
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2923640
– volume: 358
  start-page: 172
  year: 2021
  ident: ref_23
  article-title: Timely detection and mitigation of IoT-based cyberattacks in the smart grid
  publication-title: J. Frankl. Inst.
  doi: 10.1016/j.jfranklin.2019.02.011
– ident: ref_63
  doi: 10.3390/en13184907
– ident: ref_145
  doi: 10.1145/1390156.1390189
– volume: 3
  start-page: 42
  year: 2016
  ident: ref_82
  article-title: Byzantine attacks and its security measures in mobile adhoc networks
  publication-title: Int’l J. Comput. Commun. Instrum. Eng. (IJCCIE 2016)
– volume: 7
  start-page: 13960
  year: 2019
  ident: ref_69
  article-title: Application of big data and machine learning in smart grid, and associated security concerns: A review
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2894819
– ident: ref_156
  doi: 10.20944/preprints202107.0120.v1
– ident: ref_133
  doi: 10.1007/978-981-15-6318-8_42
– volume: 159
  start-page: 454
  year: 2019
  ident: ref_161
  article-title: A game theoretic approach for peer to peer energy trading
  publication-title: Energy Procedia
  doi: 10.1016/j.egypro.2018.12.075
– volume: 106
  start-page: 261
  year: 2019
  ident: ref_70
  article-title: Security for smart grid in 5G and beyond networks
  publication-title: Wirel. Pers. Commun.
  doi: 10.1007/s11277-019-06274-5
– volume: 10
  start-page: 5174
  year: 2018
  ident: ref_41
  article-title: Online cyber-attack detection in smart grid: A reinforcement learning approach
  publication-title: IEEE Trans. Smart Grid
  doi: 10.1109/TSG.2018.2878570
– ident: ref_160
  doi: 10.3390/s19224862
– volume: 3
  start-page: 878
  year: 2022
  ident: ref_36
  article-title: A review on application of artificial intelligence techniques in microgrids
  publication-title: IEEE J. Emerg. Sel. Top. Ind. Electron.
  doi: 10.1109/JESTIE.2022.3198504
– ident: ref_129
  doi: 10.1109/ICOSEC49089.2020.9215232
– ident: ref_176
– ident: ref_2
  doi: 10.3390/en16010528
– ident: ref_140
  doi: 10.1155/2020/8890306
– volume: 153
  start-page: 150
  year: 2021
  ident: ref_116
  article-title: Secure blockchain enabled Cyber–physical systems in healthcare using deep belief network with ResNet model
  publication-title: J. Parallel Distrib. Comput.
  doi: 10.1016/j.jpdc.2021.03.011
– ident: ref_52
  doi: 10.1155/2022/7319010
– ident: ref_67
  doi: 10.1109/RWEEK.2017.8088642
– ident: ref_110
– ident: ref_50
  doi: 10.1016/j.ijepes.2022.108798
– ident: ref_139
  doi: 10.3390/info11050243
– ident: ref_166
  doi: 10.1016/j.compeleceng.2021.107299
– ident: ref_68
  doi: 10.3390/s18010162
– ident: ref_76
– ident: ref_101
  doi: 10.2139/ssrn.4074646
– ident: ref_122
  doi: 10.1145/3029806.3029823
– ident: ref_159
  doi: 10.3390/en11081973
– volume: 38
  start-page: 2364
  year: 2022
  ident: ref_34
  article-title: Cybersecurity of smart inverters in the smart grid: A survey
  publication-title: IEEE Trans. Power Electron.
– ident: ref_173
– ident: ref_172
  doi: 10.1007/978-981-16-3607-3
– ident: ref_105
  doi: 10.1109/NAECON.2016.7856831
– ident: ref_40
– ident: ref_155
  doi: 10.3390/s22134826
– volume: 131
  start-page: 209
  year: 2022
  ident: ref_29
  article-title: A survey on blockchain for big data: Approaches, opportunities, and future directions
  publication-title: Future Gener. Comput. Syst.
  doi: 10.1016/j.future.2022.01.017
– ident: ref_32
  doi: 10.3390/math10162852
– ident: ref_124
  doi: 10.1109/WETICE49692.2020.00045
– ident: ref_178
  doi: 10.14569/IJACSA.2018.090354
– volume: 53
  start-page: 1611
  year: 2016
  ident: ref_3
  article-title: Mobile social media for smart grids customer engagement: Emerging trends and challenges
  publication-title: Renew. Sustain. Energy Rev.
  doi: 10.1016/j.rser.2015.09.077
– volume: 9
  start-page: 29641
  year: 2021
  ident: ref_60
  article-title: Smart grid cyber-physical attack and defense: A review
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2021.3058628
– ident: ref_64
  doi: 10.1109/WCNC.2018.8377010
– ident: ref_35
  doi: 10.1109/WPMC50192.2020.9309494
– ident: ref_13
  doi: 10.1016/j.epsr.2022.108975
– ident: ref_79
– ident: ref_11
  doi: 10.1002/spy2.285
– volume: 8
  start-page: 2249
  year: 2016
  ident: ref_86
  article-title: Integrity attacks on real-time pricing in smart grids: Impact and countermeasures
  publication-title: IEEE Trans. Smart Grid
  doi: 10.1109/TSG.2016.2521339
– ident: ref_135
  doi: 10.1145/3297156.3297230
– ident: ref_167
  doi: 10.1016/j.apenergy.2021.117129
– ident: ref_123
  doi: 10.1016/j.measurement.2019.107450
– volume: 3
  start-page: 132
  year: 2019
  ident: ref_103
  article-title: Hardware-layer intelligence collection for smart grid embedded systems
  publication-title: J. Hardw. Syst. Secur.
  doi: 10.1007/s41635-018-0063-0
– ident: ref_17
  doi: 10.3390/app12157882
– ident: ref_120
  doi: 10.1145/3264888.3264896
– ident: ref_43
  doi: 10.1109/CYBER46603.2019.9066680
– ident: ref_26
  doi: 10.1016/j.asoc.2020.106658
– volume: 6
  start-page: 505
  year: 2017
  ident: ref_81
  article-title: Internet of things based low-cost real-time home automation and smart security system
  publication-title: Int. J. Adv. Res. Comput. Commun. Eng.
  doi: 10.17148/IJARCCE.2017.6497
– ident: ref_12
– ident: ref_85
– ident: ref_56
  doi: 10.3390/s20185305
– volume: 7
  start-page: 86746
  year: 2019
  ident: ref_61
  article-title: Blockchain applications in smart grid–review and frameworks
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2019.2920682
– ident: ref_126
  doi: 10.1109/ICACCI.2017.8126031
– ident: ref_8
  doi: 10.3390/su14148801
– ident: ref_65
  doi: 10.1109/IECON.2017.8217069
– ident: ref_33
  doi: 10.1016/j.jisa.2020.102722
– volume: 107
  start-page: 200
  year: 2019
  ident: ref_66
  article-title: Review of blockchain-based distributed energy: Implications for institutional development
  publication-title: Renew. Sustain. Energy Rev.
  doi: 10.1016/j.rser.2019.03.002
– ident: ref_104
  doi: 10.1109/IECON.2018.8591401
– volume: 12
  start-page: 3548
  year: 2021
  ident: ref_31
  article-title: Causative cyberattacks on online learning-based automated demand response systems
  publication-title: IEEE Trans. Smart Grid
  doi: 10.1109/TSG.2021.3067896
– volume: 11
  start-page: 101
  year: 2021
  ident: ref_75
  article-title: Business organization security strategies to cyber security threats
  publication-title: Int. J. Saf. Secur. Eng
– ident: ref_158
  doi: 10.1002/ett.4360
– ident: ref_71
  doi: 10.1016/j.ijepes.2019.105643
– ident: ref_171
  doi: 10.1109/EIT.2018.8500086
– volume: 9
  start-page: 8324
  year: 2021
  ident: ref_177
  article-title: Efficient secure building blocks with application to privacy preserving machine learning algorithms
  publication-title: IEEE Access
  doi: 10.1109/ACCESS.2021.3049216
– volume: 11
  start-page: 931
  year: 2019
  ident: ref_88
  article-title: Cyber physical security analytics for transactive energy systems
  publication-title: IEEE Trans. Smart Grid
  doi: 10.1109/TSG.2019.2928168
– volume: 22
  start-page: 4291
  year: 2020
  ident: ref_108
  article-title: Anomaly detection in automated vehicles using multistage attention-based convolutional neural network
  publication-title: IEEE Trans. Intell. Transp. Syst.
  doi: 10.1109/TITS.2020.3025875
SSID ssj0000392667
Score 2.5716197
SecondaryResourceType review_article
Snippet Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid has drawbacks, just like any other novel technology. A smart grid...
SourceID doaj
proquest
gale
crossref
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
StartPage 83
SubjectTerms Alternative energy sources
Artificial intelligence
Blockchain
Cryptography
cyber security
cyberattacks
Cybercrime
Cybersecurity
Cyberterrorism
data mining
Data security
deep learning
Electronic devices
Energy consumption
Genetic algorithms
Internet
Machine learning
Methods
Neural networks
Packets (communication)
Security software
Sensors
Smart grid
Smart sensors
SummonAdditionalLinks – databaseName: Computer Science Database
  dbid: K7-
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3daxQxEB-0-qAP9RvPVgkoiA-hu5tcPp7KtVgUaRGq0LeQr70e6l7d3Qr-953kclcF9cXH3WQh2ZnJ_DKZ_AbgVRMarYSqqK5CoFxKQdGPt7T2jcenehqnLhebkCcn6uxMfywBt6GkVa7XxLxQh6VPMfK9Rsp00shktX_xnaaqUel0tZTQuAm36qapk55_kHQTY6nQ-QshV6ykDHf3e-0CAVA68me_-aFM1_-3RTl7mqN7_zvG-7BdMCaZrZTiAdyI3UO4-wvz4CO4XJORkGVLDn-62JPTUsmOzMYxXbwntgvk_TiQTeSMIMAlCBjJ6TdUODLvF4HklANynFMyIylsrfP87QH6yS_-3C46cpzrVA-P4fPR20-H72ipwEA92vZIRdCtC8rjrwzSOi28bKxlTHgVmsC8ww1N5Noz5jkiGyYU99jMURatikqwJ7DVLbv4FIgKUVt0fhYxAneKKcldsv4WIYvX3E3gzVoexhd68lQl46vBbUqSnbmW3QRebvperEg5_tjrIIl10yMRaecXy35uil0aq4KsrdRxKloehHbRTWt04C2TPOIkJ_A6KYVJ5o7D8bbcWsBJJeIsM5MIgdFryGoCu2ulMGUdGMy1Rjz7d_MO3EmF7Ff54LuwNfaX8Tnc9j_GxdC_yGp9BbWL_6g
  priority: 102
  providerName: ProQuest
Title Analysis of Cyber Security Attacks and Its Solutions for the Smart grid Using Machine Learning and Blockchain Methods
URI https://www.proquest.com/docview/2779536370
https://doaj.org/article/a8d71a79e56f4d69beb51678f374e8d2
Volume 15
WOSCitedRecordID wos000945237700001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1999-5903
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000392667
  issn: 1999-5903
  databaseCode: DOA
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 1999-5903
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000392667
  issn: 1999-5903
  databaseCode: M~E
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: ABI/INFORM Collection
  customDbUrl:
  eissn: 1999-5903
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000392667
  issn: 1999-5903
  databaseCode: 7WY
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/abicomplete
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ABI/INFORM Global
  customDbUrl:
  eissn: 1999-5903
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000392667
  issn: 1999-5903
  databaseCode: M0C
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/abiglobal
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Advanced Technologies & Aerospace Database
  customDbUrl:
  eissn: 1999-5903
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000392667
  issn: 1999-5903
  databaseCode: P5Z
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/hightechjournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Computer Science Database
  customDbUrl:
  eissn: 1999-5903
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000392667
  issn: 1999-5903
  databaseCode: K7-
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/compscijour
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 1999-5903
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000392667
  issn: 1999-5903
  databaseCode: BENPR
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Publicly Available Content Database
  customDbUrl:
  eissn: 1999-5903
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000392667
  issn: 1999-5903
  databaseCode: PIMPY
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3NaxQxFH9o9WAPxU9cbZeAgngYujPJ5OO4u7RYZJfBKrZeQr6mLtqp7E6F_vd9ycyuKyhevARmkoHk5X1OXn4P4HXhCyW5HGVq5H3GhOAZ2vE6y13h8CkvQ2lTsQkxn8uzM1VtlfqKOWEdPHBHuEMjvciNUKHkNfNc2WDLHDVsTQUL0ifti17PVjCVdDCafc5Fh0dKMa4_rBfo-sTDfvqbBUpA_X9Tx8nGHD-Evd45JONuUo_gTmgew-4WZOATuF6jiJCrmkxvbFiS074EHRm3bbwxT0zjyUm7IptfXgQ9U4KeHjm9xAWTi-XCk5QrQGYplzKQHmb1In07QQP3zX01i4bMUoHp1VP4dHz0cfou60snZA6Fss24V7X10iElvDBWcScKYyjlDknmqbMYiQSmHKWOoUtCuWQOu1lR5LUMktNnsNNcNeE5EOmDMmi1DBp3ZiWVgtkotjX6Gk4xO4C3a3Jq1-OKx_IW3zXGF5H0-hfpB_BqM_ZHh6bxx1GTuCubEREBO71AvtA9X-h_8cUA3sQ91VFOcTrO9NcNcFER8UqPBfquqO7FaAD7623XvQCvdCFEPNjG7hf_YzYv4UGsU9-le-_DTru8Dgdw3_1sF6vlEO6Kz-dDuDc5mlcfhomTsX0vMmxnoym2VfkF-6uTWXV-Cx7g-Rw
linkProvider Directory of Open Access Journals
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtQwFLVKQQIWvBEDBSwBQiyiJrbHjwVC04Gqo3ZGSC1Sd65fGUYtmZKkoP4U38h1HlOQgF0XLBM7URwf33tsX5-L0EviiZJcpolKvU-YEDwBP54nmSMOrrJhGNom2YSYzeThofq4hn70Z2FiWGVvExtD7ZcurpFvEiHiTiMV6bvTr0nMGhV3V_sUGi0sdsP5d5iyVW8n76F_XxGy_eFgvJN0WQUSB3itE-5Vbr10YAu8MFZxJ4gxlHInPfHUWSDpgSlHqWPgrSmXzEExIyTLZZCcwnuvoKuMwXCIoYLpeLWmkwLZ4Fy0KqiUqnQzXwDhiiEG9De_16QH-JsTaDzb9u3_7Z_cQbc6Do1HLejvorVQ3EM3f1FWvI_OerEVvMzx-NyGEu93mfrwqK6jsAA2hceTusKrlUEMBB4DIcb7X2BA4Xm58LgJqcDTJuQ04E6Ndt48uwU84Nh9NosCT5s83NUD9OlS2v0QrRfLIjxCWPqgDDh3AxyIWUmlYDZatxwomVPMDtCbvv-16-TXYxaQEw3TsIgVfYGVAXqxqnvaio78sdZWhNGqRhQKb24sy7nu7I420ovMCBWGPGeeKxvsMAOCklPBAjRygF5HEOpozuBznOlOZUCjojCYHgmg-OAVRTpAGz0IdWfnKn2BwMf_Ln6Oru8cTPf03mS2-wTdIEAV29j3DbRel2fhKbrmvtWLqnzWDCmMji4brz8B8QZbxw
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtQwFLVKQQgWvBEDBSwBQiyiJrbjxwKhacuI0dBRpYLUnYkfGUZApiQpqL_G13HtJFOQgF0XLBM7kZ0c33tsX5-L0FPiiJJcpolKnUuYEDwBP14mmSUWrrLc5yYmmxDzuTw6Ugcb6MdwFiaEVQ42MRpqt7JhjXybCBF2GqlIt8s-LOJgb_Lq-GsSMkiFndYhnUYHkZk__Q7Tt-bldA_-9TNCJq_f7b5J-gwDiQXstgl3qjROWrALThRGcStIUVDKrXTEUWuAsHumLKWWgeemXDILxYyQrJRecgrvvYAughfOwxibiWS9vpMC8eBcdIqolCpo9hLIVwg3oL_5wJgq4G8OIXq5yfX_-fvcQNd6bo3H3WC4iTZ8dQtd_UVx8TY6GURY8KrEu6fG1_iwz-CHx20bBAdwUTk8bRu8XjHEQOwxEGV8-AUGGl7US4djqAXej6GoHvcqtYv47A7wg0_2Y7Gs8H7Mz93cQe_Ppd930Wa1qvw9hKXzqgCnXwA3YkZSKZgJVq8EqmYVMyP0YsCCtr0se8gO8lnD9CzgRp_hZoSerOsed2Ikf6y1EyC1rhEExOONVb3QvT3ShXQiK4TyOS-Z48p4k2dAXEoqmIdOjtDzAEgdzBw0xxb9aQ3oVBAM02MB1B-8pUhHaGsApO7tX6PP0Hj_38WP0WWAqX47nc8eoCsEGGQXEr-FNtv6xD9El-y3dtnUj-LowujDecP1J-nKZG0
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Analysis+of+Cyber+Security+Attacks+and+Its+Solutions+for+the+Smart+grid+Using+Machine+Learning+and+Blockchain+Methods&rft.jtitle=Future+internet&rft.au=Mazhar%2C+Tehseen&rft.au=Irfan%2C+Hafiz+Muhammad&rft.au=Khan%2C+Sunawar&rft.au=Haq%2C+Inayatul&rft.date=2023-02-01&rft.pub=MDPI+AG&rft.issn=1999-5903&rft.eissn=1999-5903&rft.volume=15&rft.issue=2&rft_id=info:doi/10.3390%2Ffi15020083&rft.externalDocID=A751915370
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1999-5903&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1999-5903&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1999-5903&client=summon