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SIDE CHANNEL ATTACK WITH HAMMING WEIGHT LEAKAGE

dc.contributor.authorXia, Mingyang
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.departmentDepartment of Electrical & Computer Engineeringen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.external-examinern/aen_US
dc.contributor.graduate-coordinatorProf. Dmitry Trukhacheven_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.thesis-readerProf. Jean-Francois Bousqueten_US
dc.contributor.thesis-readerProf. Guy Kemberen_US
dc.contributor.thesis-supervisorProf. Zhizhang (David) Chenen_US
dc.contributor.thesis-supervisorProf. Colin O’Flynnen_US
dc.date.accessioned2019-08-29T11:45:28Z
dc.date.available2019-08-29T11:45:28Z
dc.date.defence2019-08-20
dc.date.issued2019-08-29T11:45:28Z
dc.description.abstractInformation security and data encryption attract more and more attention due to the prevalent use of communication networks and internet of things (IoT). To understand the principles and methods of the information attacks is indispensable to develop more efficient and more secure protection against malicious attacks. This thesis focuses on the performance of Correlation Power Analysis (CPA) attack, which is one of the most popular methods of Side Channel Attack (SDA). First, we introduce Advanced Encryption Standard (AES) and perform CPA attack using the information leakage of AES to attack the cryptographic devices. Secondly, we evaluate the performance of CPA attack and show data distribution of recorded power consumption for various Hamming Weight across multiple devices. Thirdly, we calculate the best matched distribution of the recorded power consumption and show how the performance of CPA attack changes under different channel (noise free channel and AWGN channel).en_US
dc.identifier.urihttp://hdl.handle.net/10222/76335
dc.language.isoenen_US
dc.subjectCorrelation Power Analysisen_US
dc.subjectSide Channel Attacken_US
dc.subjectHamming Weighten_US
dc.subjectInformation Leakageen_US
dc.subjectGaussian Distributionen_US
dc.titleSIDE CHANNEL ATTACK WITH HAMMING WEIGHT LEAKAGEen_US

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