Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization

High security for physical items such as intelligent machinery and residential appliances is provided via the Internet of Things (IoT). The physical objects are given a distinct online address known as the Internet Protocol to communicate with the network’s external foreign entities through the Inte...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 22; číslo 16; s. 6117
Hlavní autori:	Alterazi, Hassan A., Kshirsagar, Pravin R., Manoharan, Hariprasath, Selvarajan, Shitharth, Alhebaishi, Nawaf, Srivastava, Gautam, Lin, Jerry Chun-Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.08.2022 MDPI
Predmet:	Accuracy Air conditioning Algorithms Analysis ant colony optimization Artificial intelligence cyber security threats Cybersecurity Cyberterrorism Data security genetic algorithm Internet of Things Mathematical optimization optimization techniques particle swarm optimization Privacy Safety and security measures Sensors Software Transmission Control Protocol/Internet Protocol (Computer network protocol) Ventilation
ISSN:	1424-8220, 1424-8220
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Abstract	High security for physical items such as intelligent machinery and residential appliances is provided via the Internet of Things (IoT). The physical objects are given a distinct online address known as the Internet Protocol to communicate with the network’s external foreign entities through the Internet (IP). IoT devices are in danger of security issues due to the surge in hacker attacks during Internet data exchange. If such strong attacks are to create a reliable security system, attack detection is essential. Attacks and abnormalities such as user-to-root (U2R), denial-of-service, and data-type probing could have an impact on an IoT system. This article examines various performance-based AI models to predict attacks and problems with IoT devices with accuracy. Particle Swarm Optimization (PSO), genetic algorithms, and ant colony optimization were used to demonstrate the effectiveness of the suggested technique concerning four different parameters. The results of the proposed method employing PSO outperformed those of the existing systems by roughly 73 percent.
AbstractList	High security for physical items such as intelligent machinery and residential appliances is provided via the Internet of Things (IoT). The physical objects are given a distinct online address known as the Internet Protocol to communicate with the network’s external foreign entities through the Internet (IP). IoT devices are in danger of security issues due to the surge in hacker attacks during Internet data exchange. If such strong attacks are to create a reliable security system, attack detection is essential. Attacks and abnormalities such as user-to-root (U2R), denial-of-service, and data-type probing could have an impact on an IoT system. This article examines various performance-based AI models to predict attacks and problems with IoT devices with accuracy. Particle Swarm Optimization (PSO), genetic algorithms, and ant colony optimization were used to demonstrate the effectiveness of the suggested technique concerning four different parameters. The results of the proposed method employing PSO outperformed those of the existing systems by roughly 73 percent. High security for physical items such as intelligent machinery and residential appliances is provided via the Internet of Things (IoT). The physical objects are given a distinct online address known as the Internet Protocol to communicate with the network's external foreign entities through the Internet (IP). IoT devices are in danger of security issues due to the surge in hacker attacks during Internet data exchange. If such strong attacks are to create a reliable security system, attack detection is essential. Attacks and abnormalities such as user-to-root (U2R), denial-of-service, and data-type probing could have an impact on an IoT system. This article examines various performance-based AI models to predict attacks and problems with IoT devices with accuracy. Particle Swarm Optimization (PSO), genetic algorithms, and ant colony optimization were used to demonstrate the effectiveness of the suggested technique concerning four different parameters. The results of the proposed method employing PSO outperformed those of the existing systems by roughly 73 percent.High security for physical items such as intelligent machinery and residential appliances is provided via the Internet of Things (IoT). The physical objects are given a distinct online address known as the Internet Protocol to communicate with the network's external foreign entities through the Internet (IP). IoT devices are in danger of security issues due to the surge in hacker attacks during Internet data exchange. If such strong attacks are to create a reliable security system, attack detection is essential. Attacks and abnormalities such as user-to-root (U2R), denial-of-service, and data-type probing could have an impact on an IoT system. This article examines various performance-based AI models to predict attacks and problems with IoT devices with accuracy. Particle Swarm Optimization (PSO), genetic algorithms, and ant colony optimization were used to demonstrate the effectiveness of the suggested technique concerning four different parameters. The results of the proposed method employing PSO outperformed those of the existing systems by roughly 73 percent.
Audience	Academic
Author	Selvarajan, Shitharth Srivastava, Gautam Alhebaishi, Nawaf Alterazi, Hassan A. Lin, Jerry Chun-Wei Manoharan, Hariprasath Kshirsagar, Pravin R.
AuthorAffiliation	2 Department of Artificial Intelligence, G. H Raisoni College of Engineering, Nagpur 440016, India 5 Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 22254, Saudi Arabia 8 Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063 Bergen, Norway 4 Department of Computer Science, Kebri Dehar University, Kebri Dehar 001, Ethiopia 7 Research Center for Interneural Computing, China Medical University, Taichung 406040, Taiwan 1 Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 22254, Saudi Arabia 3 Department of Electronics and Communication Engineering, Panimalar Engineering College, Poonamallee, Chennai 600123, India 6 Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada
AuthorAffiliation_xml	– name: 7 Research Center for Interneural Computing, China Medical University, Taichung 406040, Taiwan – name: 8 Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063 Bergen, Norway – name: 2 Department of Artificial Intelligence, G. H Raisoni College of Engineering, Nagpur 440016, India – name: 1 Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 22254, Saudi Arabia – name: 6 Department of Mathematics and Computer Science, Brandon University, Brandon, MB R7A 6A9, Canada – name: 3 Department of Electronics and Communication Engineering, Panimalar Engineering College, Poonamallee, Chennai 600123, India – name: 4 Department of Computer Science, Kebri Dehar University, Kebri Dehar 001, Ethiopia – name: 5 Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 22254, Saudi Arabia
Author_xml	– sequence: 1 givenname: Hassan A. orcidid: 0000-0003-0137-9422 surname: Alterazi fullname: Alterazi, Hassan A. – sequence: 2 givenname: Pravin R. surname: Kshirsagar fullname: Kshirsagar, Pravin R. – sequence: 3 givenname: Hariprasath orcidid: 0000-0001-5034-3034 surname: Manoharan fullname: Manoharan, Hariprasath – sequence: 4 givenname: Shitharth orcidid: 0000-0002-4931-724X surname: Selvarajan fullname: Selvarajan, Shitharth – sequence: 5 givenname: Nawaf orcidid: 0000-0003-0438-4243 surname: Alhebaishi fullname: Alhebaishi, Nawaf – sequence: 6 givenname: Gautam orcidid: 0000-0001-9851-4103 surname: Srivastava fullname: Srivastava, Gautam – sequence: 7 givenname: Jerry Chun-Wei orcidid: 0000-0001-8768-9709 surname: Lin fullname: Lin, Jerry Chun-Wei
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Cites_doi	10.1109/ACCESS.2022.3171660 10.3390/informatics6010008 10.1109/TIFS.2022.3140687 10.1007/s43926-020-00001-4 10.3390/en15103624 10.1109/TII.2018.2836150 10.1109/WCNCW.2018.8369033 10.11591/eei.v6i2.605 10.1109/SPW.2019.00023 10.1109/COMST.2019.2896380 10.1109/TII.2019.2956474 10.1007/s11277-021-08725-4 10.1016/j.cose.2019.05.016 10.1007/s00521-014-1629-6 10.1088/1742-6596/1345/4/042075 10.1007/978-3-319-45507-5_6 10.1155/2022/8457116 10.1007/s42979-021-00557-0 10.1109/MilCIS.2017.8190421 10.1111/coin.12367 10.1016/j.iot.2019.100056 10.1007/s00521-017-3317-9 10.3390/s20030816 10.1109/ICTC.2015.7354752 10.1109/ACCESS.2018.2799306 10.1016/j.comnet.2019.107042 10.1016/j.engappai.2013.04.010 10.1109/ACCESS.2020.3013145 10.1049/cp.2015.0714 10.1016/j.compeleceng.2017.07.008 10.1007/978-3-030-49669-2 10.1109/ACCESS.2021.3129053 10.1155/2021/3329581 10.1007/s10586-017-0971-8 10.1109/ICRIS.2019.00087
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References	Shitharth (ref_42) 2021; 9 Dilek (ref_40) 2015; 6 Sudhir (ref_38) 2016; 1 Mahdi (ref_43) 2022; 17 ref_13 ref_35 ref_12 Patil (ref_2) 2019; 85 Malik (ref_14) 2018; 21 Shamshirband (ref_30) 2013; 26 ref_32 Aljuhani (ref_6) 2019; 2 Farivar (ref_20) 2020; 16 Fadlil (ref_7) 2017; 6 ref_18 Setiawan (ref_21) 2019; 12 Wiafe (ref_39) 2020; 8 Mirjalili (ref_3) 2014; 25 ref_17 ref_16 ref_37 Elmasry (ref_10) 2020; 168 Kuzlu (ref_22) 2021; 1 Shitharth (ref_36) 2022; 10 Qi (ref_33) 2019; 1345 Jun (ref_27) 2021; 2021 Akojwar (ref_29) 2016; 7 Chaabouni (ref_19) 2019; 21 ref_25 Suroor (ref_28) 2017; 9 Alabbas (ref_31) 2021; 37 Casola (ref_8) 2019; 7 ref_23 Liu (ref_1) 2018; 14 Sarker (ref_34) 2021; 2 Wang (ref_24) 2018; 6 ref_41 Garg (ref_15) 2018; 71 ref_26 ref_9 Khadidos (ref_11) 2022; 2022 Huda (ref_5) 2018; 31 Mazini (ref_4) 2018; 31
References_xml	– volume: 10 start-page: 46424 year: 2022 ident: ref_36 article-title: An Innovative Perceptual Pigeon Galvanized Optimization (PPGO) Based Likelihood Naïve Bayes (LNB) Classification Approach for Network Intrusion Detection System publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3171660 – ident: ref_23 doi: 10.3390/informatics6010008 – volume: 17 start-page: 357 year: 2022 ident: ref_43 article-title: Model Inversion Attack by Integration of Deep Generative Models: Privacy-Sensitive Face Generation From a Face Recognition System publication-title: IEEE Trans. Inf. Forensics Secur. doi: 10.1109/TIFS.2022.3140687 – volume: 1 start-page: 7 year: 2021 ident: ref_22 article-title: Role of Artificial Intelligence in the Internet of Things (IoT) cybersecurity publication-title: Discov. Internet Things doi: 10.1007/s43926-020-00001-4 – ident: ref_17 doi: 10.3390/en15103624 – volume: 14 start-page: 3801 year: 2018 ident: ref_1 article-title: Defending on–off attacks using light probing messages in smart sensors for industrial communication systems publication-title: IEEE Trans. Ind. Inf. doi: 10.1109/TII.2018.2836150 – ident: ref_9 doi: 10.1109/WCNCW.2018.8369033 – volume: 9 start-page: 229 year: 2017 ident: ref_28 article-title: Identifying the factors of modern-day stress using machine learning publication-title: Int. J. Eng. Sci. Technol. – volume: 2 start-page: 83 year: 2019 ident: ref_6 article-title: Mitigation of Application Layer DDoS Flood Attack Against Web Servers publication-title: J. Inf. Secur. Cybercrimes Res. – volume: 6 start-page: 140 year: 2017 ident: ref_7 article-title: Review of detection DDOS attack detection using naive bayes classifier for network forensics publication-title: Bull. Electr. Eng. Inform. doi: 10.11591/eei.v6i2.605 – ident: ref_13 doi: 10.1109/SPW.2019.00023 – volume: 21 start-page: 2671 year: 2019 ident: ref_19 article-title: Network Intrusion Detection for IoT Security based on Learning Techniques publication-title: IEEE Commun. Surv. Tutor. doi: 10.1109/COMST.2019.2896380 – volume: 16 start-page: 2716 year: 2020 ident: ref_20 article-title: Artificial intelligence for detection, estimation, and compensation of malicious attacks in nonlinear cyber-physical systems and industrial IoT publication-title: IEEE Trans. Ind. Inf. doi: 10.1109/TII.2019.2956474 – ident: ref_41 doi: 10.1007/s11277-021-08725-4 – ident: ref_18 – volume: 85 start-page: 402 year: 2019 ident: ref_2 article-title: Designing an efficient security framework for detecting intrusions in virtual network of cloud computing publication-title: Comput. Secur. doi: 10.1016/j.cose.2019.05.016 – volume: 25 start-page: 1423 year: 2014 ident: ref_3 article-title: Binary optimization using hybrid particle swarm optimization and gravitational search algorithm publication-title: Neural Comput. Appl. doi: 10.1007/s00521-014-1629-6 – volume: 1345 start-page: 402 year: 2019 ident: ref_33 article-title: Analysis on the Application of artificial Intelligence in classroom publication-title: J. Phys. Conf. Ser. doi: 10.1088/1742-6596/1345/4/042075 – ident: ref_37 doi: 10.1007/978-3-319-45507-5_6 – volume: 2022 start-page: 8457116 year: 2022 ident: ref_11 article-title: Healthcare Data Security Using IoT Sensors Based on Random Hashing Mechanism publication-title: J. Sens. doi: 10.1155/2022/8457116 – volume: 2 start-page: 1 year: 2021 ident: ref_34 article-title: AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions publication-title: SN Comput. Sci. doi: 10.1007/s42979-021-00557-0 – ident: ref_16 doi: 10.1109/MilCIS.2017.8190421 – volume: 37 start-page: 1286 year: 2021 ident: ref_31 article-title: Performance enhancement of safety message communication via designing dynamic power control mechanisms in vehicular ad hoc networks publication-title: Comput. Intell. doi: 10.1111/coin.12367 – volume: 7 start-page: 100056 year: 2019 ident: ref_8 article-title: Toward the automation of threat modeling and risk assessment in iot systems publication-title: Int. Things doi: 10.1016/j.iot.2019.100056 – volume: 31 start-page: 4287 year: 2018 ident: ref_5 article-title: Efficient feature selection and classification algorithm based on PSO and rough sets publication-title: Neural Comput. Appl. doi: 10.1007/s00521-017-3317-9 – volume: 31 start-page: 541 year: 2018 ident: ref_4 article-title: Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms publication-title: J. King Saud. Univ. Comput. Inf. Sci. – volume: 1 start-page: 231 year: 2016 ident: ref_38 article-title: Performance Evolution of Optimization Techniques for Mathematical Benchmark Functions publication-title: Int. J. Comput. – ident: ref_32 doi: 10.3390/s20030816 – volume: 7 start-page: 79 year: 2016 ident: ref_29 article-title: A Novel Probabilistic-PSO Based Learning Algorithm for Optimization of Neural Networks for Benchmark Problems publication-title: Wseas Trans. Electron. – ident: ref_25 doi: 10.1109/ICTC.2015.7354752 – volume: 12 start-page: 378 year: 2019 ident: ref_21 article-title: Increasing accuracy and completeness of intrusion detection model using fusion of normalization, feature selection method and support vector machine publication-title: Int. J. Intell. Eng. Syst. – volume: 6 start-page: 8547 year: 2018 ident: ref_24 article-title: An Immune Genetic Algorithm for Multi-Echelon Inventory Cost Control of IoT Based Supply Chains publication-title: IEEE Access doi: 10.1109/ACCESS.2018.2799306 – volume: 6 start-page: 6 year: 2015 ident: ref_40 article-title: Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review publication-title: Int. J. Artif. Intell. Appl. – volume: 168 start-page: 107042 year: 2020 ident: ref_10 article-title: Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic publication-title: Comput. Netw. doi: 10.1016/j.comnet.2019.107042 – volume: 26 start-page: 2105 year: 2013 ident: ref_30 article-title: An appraisal and design of a multi -agent system based cooperative wireless intrusion detection computational intelligence technique publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2013.04.010 – volume: 8 start-page: 146598 year: 2020 ident: ref_39 article-title: Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3013145 – ident: ref_26 doi: 10.1049/cp.2015.0714 – volume: 71 start-page: 798 year: 2018 ident: ref_15 article-title: Fuzzified cuckoo based clustering technique for network anomaly detection publication-title: Comput. Electr. Eng. doi: 10.1016/j.compeleceng.2017.07.008 – ident: ref_12 doi: 10.1007/978-3-030-49669-2 – volume: 9 start-page: 156297 year: 2021 ident: ref_42 article-title: An Enriched RPCO-BCNN Mechanisms for Attack Detection and Classification in SCADA Systems publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3129053 – volume: 2021 start-page: 3329581 year: 2021 ident: ref_27 article-title: Artificial Intelligence Application in Cybersecurity and Cyberdefense publication-title: Wirel. Commun. Mob. Comput. doi: 10.1155/2021/3329581 – volume: 21 start-page: 667 year: 2018 ident: ref_14 article-title: A hybrid technique using binary particle swarm optimization and decision tree pruning for network intrusion detection publication-title: Clust. Comput. doi: 10.1007/s10586-017-0971-8 – ident: ref_35 doi: 10.1109/ICRIS.2019.00087
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StartPage	6117
SubjectTerms	Accuracy Air conditioning Algorithms Analysis ant colony optimization Artificial intelligence cyber security threats Cybersecurity Cyberterrorism Data security genetic algorithm Internet of Things Mathematical optimization optimization techniques particle swarm optimization Privacy Safety and security measures Sensors Software Transmission Control Protocol/Internet Protocol (Computer network protocol) Ventilation
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Title	Prevention of Cyber Security with the Internet of Things Using Particle Swarm Optimization
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