An Elliptic Curve-based Protocol for Privacy Preserving Frequency Computation in 2-Part Fully Distributed Setting

Privacy-preserving frequency computation is critical to privacy-preserving data mining in 2-Part Fully Distributed Setting (such as association rule analysis, clustering, and classification analysis) and has been investigated in many researches. However, these solutions are based on the Elgamal Cryp...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:2020 12th International Conference on Knowledge and Systems Engineering (KSE) s. 91 - 96
Hlavní autori: Van Vu, Thi, Luong, The Dung, Hoang, Van Quan
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 12.11.2020
Predmet:
2-part fully distributed setting
Elliptic curve cryptosystem
Privacy preserving frequency computation
Privacy-preserving data mining
Secure multi-party computation
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Abstract Privacy-preserving frequency computation is critical to privacy-preserving data mining in 2-Part Fully Distributed Setting (such as association rule analysis, clustering, and classification analysis) and has been investigated in many researches. However, these solutions are based on the Elgamal Cryptosystem, making computation and communication efficiency low. Therefore, this paper proposes an improved protocol using an Elliptic Curve Cryptosystem. The theoretical and experimental analysis shows that the proposed method is effective in both computing and communication compared to other methods.
AbstractList Privacy-preserving frequency computation is critical to privacy-preserving data mining in 2-Part Fully Distributed Setting (such as association rule analysis, clustering, and classification analysis) and has been investigated in many researches. However, these solutions are based on the Elgamal Cryptosystem, making computation and communication efficiency low. Therefore, this paper proposes an improved protocol using an Elliptic Curve Cryptosystem. The theoretical and experimental analysis shows that the proposed method is effective in both computing and communication compared to other methods.
Author Hoang, Van Quan
Luong, The Dung
Van Vu, Thi
Author_xml – sequence: 1
  givenname: Thi
  surname: Van Vu
  fullname: Van Vu, Thi
  email: vanvu10101986@gmail.com
  organization: Academy of Cryptography Techniques,Faculty of Information Security,Hanoi,Vietnam
– sequence: 2
  givenname: The Dung
  surname: Luong
  fullname: Luong, The Dung
  email: thedungluong1@gmail.com
  organization: Academy of Cryptography Techniques,Director Board,Hanoi,Vietnam
– sequence: 3
  givenname: Van Quan
  surname: Hoang
  fullname: Hoang, Van Quan
  email: hoangvanquan@gmail.com
  organization: Academy of Cryptography Techniques,Director Board,Hanoi,Vietnam
BookMark eNotkN1KAzEUhCPohT99AhHyAluTk253c1nWVsWChep1OdmcSGCbtNlsoW_vir0aZmA-mLlj1yEGYuxJiqmUQj9_bJel0LqaggAx1VBXM1BXbKKrWlZQy1kpRXnLjovAl13nD9m3vBnSiQqDPVm-STHHNnbcxTQaf8L2PCr1lE4-_PBVouNAYQybuD8MGbOPgfvAodhgynw1dN2Zv_g-J2-GPBK3lPPYfGA3DrueJhe9Z9-r5VfzVqw_X9-bxbrwIFQuWieVnctaaVB1RcYKi3NsnZkhtMJph9IYCySNnVsnsQQtKyxL-zcUENQ9e_zneiLaHZLfYzrvLkeoX7unWi8
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/KSE50997.2020.9287423
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
EISBN 9781728145105
1728145104
EndPage 96
ExternalDocumentID 9287423
Genre orig-research
GroupedDBID 6IE
6IL
CBEJK
RIE
RIL
ID FETCH-LOGICAL-i203t-cf13d618392387ebd0da6acfb4a2c0f9fa1bbd2e1bd6df1a52917a55d87422a23
IEDL.DBID RIE
ISICitedReferencesCount 3
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000687563100016&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Aug 27 02:33:52 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i203t-cf13d618392387ebd0da6acfb4a2c0f9fa1bbd2e1bd6df1a52917a55d87422a23
PageCount 6
ParticipantIDs ieee_primary_9287423
PublicationCentury 2000
PublicationDate 2020-Nov.-12
PublicationDateYYYYMMDD 2020-11-12
PublicationDate_xml – month: 11
  year: 2020
  text: 2020-Nov.-12
  day: 12
PublicationDecade 2020
PublicationTitle 2020 12th International Conference on Knowledge and Systems Engineering (KSE)
PublicationTitleAbbrev KSE
PublicationYear 2020
Publisher IEEE
Publisher_xml – name: IEEE
Score 1.7610447
Snippet Privacy-preserving frequency computation is critical to privacy-preserving data mining in 2-Part Fully Distributed Setting (such as association rule analysis,...
SourceID ieee
SourceType Publisher
StartPage 91
SubjectTerms 2-part fully distributed setting
Elliptic curve cryptosystem
Privacy preserving frequency computation
Privacy-preserving data mining
Secure multi-party computation
Title An Elliptic Curve-based Protocol for Privacy Preserving Frequency Computation in 2-Part Fully Distributed Setting
URI https://ieeexplore.ieee.org/document/9287423
WOSCitedRecordID wos000687563100016&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
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA7b8OBJZRN_k4NHsyVpmi5HmRuCMAZT2G2k-SG9dFq7wf5789IyEbx4SlNCQvPavvfa73sfQvecU8mZ4cS5hBKhEkO0s45oZn3wBwLCiig2kc3n49VKLTro4cCFcc5F8JkbwmH8l283ZgufykYKirPzpIu6WSYbrlZLymFUjV6W0xR4oCHp43TYjv0lmhJ9xuzkf6udosEP-Q4vDm7lDHVc2UefjyUGeEV4wA2ebKudI-B_LIysN8GYOASfoVPstNljwFXAO6B8x7OqwUrvcaPfEA2BixJzsgh3DYYUdI-foHwuKF-FGZcuQqEH6G02fZ08k1YtgRScJjUxniVWxoAnGWcut9RqqY3PheaGeuU1y3PLHcuttJ7plIdMTaephavkmifnqFduSneBsA1hi-daCaGYCG0ufCak9l5RI3PpLlEftmv90RTEWLc7dfX36Wt0DBYBAh_jN6hXV1t3i47Mri6-qrtoxW-uTaH_
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PT8IwFG4QTfSkBoy_7cGjhbbrBj0alGBAQgIm3EjXH2aXoXOQ8N_bVxaMiRdPXZemzfq2vfe273sfQvec04QzzYm1ESVCRpooayxRzDjvDwSEFUFsojMed-dzOamhhx0XxlobwGe2BYfhX75Z6hV8KmtLKM7Ooz20D8pZFVurouUwKtvD6XMMTFCf9nHaqkb_kk0JXqN__L_1TlDzh36HJzvHcopqNm-gz8ccA8DCP-Ia91bF2hLwQAZGlktvTuzDT9_J1kpvMCAr4C2Qv-N-sUVLb_BWwSGYAmc55mTi7xsMSegGP0EBXdC-8jNObQBDN9Fb_3nWG5BKL4FknEYl0Y5FJgkhT9Tt2NRQoxKlXSoU19RJp1iaGm5ZahLjmIq5z9VUHBu4Sq54dIbq-TK35wgbH7g4rqQQkgnfpsJ1RKKck1QnaWIvUAO2a_GxLYmxqHbq8u_Td-hwMHsdLUYv4-EVOgLrAJ2P8WtUL4uVvUEHel1mX8VtsOg3SU2lSA
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%3Abook&rft.genre=proceeding&rft.title=2020+12th+International+Conference+on+Knowledge+and+Systems+Engineering+%28KSE%29&rft.atitle=An+Elliptic+Curve-based+Protocol+for+Privacy+Preserving+Frequency+Computation+in+2-Part+Fully+Distributed+Setting&rft.au=Van+Vu%2C+Thi&rft.au=Luong%2C+The+Dung&rft.au=Hoang%2C+Van+Quan&rft.date=2020-11-12&rft.pub=IEEE&rft.spage=91&rft.epage=96&rft_id=info:doi/10.1109%2FKSE50997.2020.9287423&rft.externalDocID=9287423