Evaluating and enhancing the security of cyber physical systems using machine learning approaches

dc.contributor.authorSharma, Mridula
dc.contributor.supervisorGebali, Fayez
dc.contributor.supervisorElmiligi, Haytham
dc.date.accessioned2020-04-08T20:35:55Z
dc.date.available2020-04-08T20:35:55Z
dc.date.copyright2020en_US
dc.date.issued2020-04-08
dc.degree.departmentDepartment of Electrical and Computer Engineeringen_US
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractThe main aim of this dissertation is to address the security issues of the physical layer of Cyber Physical Systems. The network security is first assessed using a 5-level Network Security Evaluation Scheme (NSES). The network security is then enhanced using a novel Intrusion Detection System that is designed using Supervised Machine Learning. Defined as a complete architecture, this framework includes a complete packet analysis of radio traffic of Routing Protocol for Low-Power and Lossy Networks (RPL). A dataset of 300 different simulations of RPL network is defined for normal traffic, hello flood attack, DIS attack, increased version attack and decreased rank attack. The IDS is a multi-model detection model that provides an efficient detection against the known as well as new attacks. The model analysis is done with the cross-validation method as well as using the new data from a similar network. To detect the known attacks, the model performed at 99% accuracy rate and for the new attack, 85% accuracy is achieved.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.bibliographicCitationM. Sharma, F. Gebali, H. Elmiligi, and M. Rahman, “Network security evalua-tion scheme for wsn in cyber-physical systems,” in2018 IEEE 9th Annual Infor-mation Technology, Electronics and Mobile Communication Conference (IEM-CON), Nov 2018, pp. 1145–1151en_US
dc.identifier.bibliographicCitationM. Sharma, F. Gebali, and H. Elmiligi, “3-dimensional analysis of cyber-physicalsystems attacks,” in2018 4th International Conference on Computing Communication and Automation (ICCCA), Dec 2018, pp. 1–5.en_US
dc.identifier.bibliographicCitationM. Sharma, H. Elmiligi, F. Gebali, "Network Security and Privacy Evaluation Scheme for Cyber Physical Systems (CPS)" in "Security of Cyber-Physical System: Vulnerability and Impact", springer (Accepted)en_US
dc.identifier.bibliographicCitationM. Sharma, F. Gebali, H. Elmiligi, A. Sharma, "Simulating Attacks for RPL and Generating Multi-class Dataset for Supervised Machine Learning", IEMCON 2019en_US
dc.identifier.bibliographicCitationM. Sharma, H. Elmiligi, F. Gebali, "A Novel Intrusion Detection System for detecting RPL attacks in Cyber Physical Systems", IEEE Access(Final submission after minor edits)en_US
dc.identifier.urihttp://hdl.handle.net/1828/11675
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectCPSen_US
dc.subjectSupervised Machine Learningen_US
dc.subjectRPLen_US
dc.subjectFeature Selectionen_US
dc.titleEvaluating and enhancing the security of cyber physical systems using machine learning approachesen_US
dc.typeThesisen_US

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