dc.contributor.author | Xia, Mingyang | |
dc.date.accessioned | 2019-08-29T11:45:28Z | |
dc.date.available | 2019-08-29T11:45:28Z | |
dc.date.issued | 2019-08-29T11:45:28Z | |
dc.identifier.uri | http://hdl.handle.net/10222/76335 | |
dc.description.abstract | Information 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.language.iso | en | en_US |
dc.subject | Correlation Power Analysis | en_US |
dc.subject | Side Channel Attack | en_US |
dc.subject | Hamming Weight | en_US |
dc.subject | Information Leakage | en_US |
dc.subject | Gaussian Distribution | en_US |
dc.title | SIDE CHANNEL ATTACK WITH HAMMING WEIGHT LEAKAGE | en_US |
dc.date.defence | 2019-08-20 | |
dc.contributor.department | Department of Electrical & Computer Engineering | en_US |
dc.contributor.degree | Master of Applied Science | en_US |
dc.contributor.external-examiner | n/a | en_US |
dc.contributor.graduate-coordinator | Prof. Dmitry Trukhachev | en_US |
dc.contributor.thesis-reader | Prof. Jean-Francois Bousquet | en_US |
dc.contributor.thesis-reader | Prof. Guy Kember | en_US |
dc.contributor.thesis-supervisor | Prof. Zhizhang (David) Chen | en_US |
dc.contributor.thesis-supervisor | Prof. Colin O’Flynn | en_US |
dc.contributor.ethics-approval | Not Applicable | en_US |
dc.contributor.manuscripts | Not Applicable | en_US |
dc.contributor.copyright-release | Not Applicable | en_US |