Statistical tools flavor side-channel collision attacks
EUROCRYPT'12 Proceedings of the 31st Annual international conference on Theory and Applications of Cryptographic Techniques
ACNS'12 Proceedings of the 10th international conference on Applied Cryptography and Network Security
Unified and optimized linear collision attacks and their application in a non-profiled setting
CHES'12 Proceedings of the 14th international conference on Cryptographic Hardware and Embedded Systems
COSADE'13 Proceedings of the 4th international conference on Constructive Side-Channel Analysis and Secure Design
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The problem of extracting the highest possible amount of key-related information using the lowest possible number of measurements is one of the central questions in side-channel attacks against embedded implementations of cryptographic algorithms. To address it, this work proposes a novel framework enhancing side-channel collision attacks with divide-and-conquer attacks such as differential power analysis (DPA). An information-theoretical metric is introduced for the evaluation of collision detection efficiency. Improved methods of dimension reduction for side-channel traces are developed based on a statistical model of euclidean distance. Experimental results confirm that DPA-combined collision attacks are superior to both DPA-only and collision-only attacks. The new methods of dimension reduction lead to further complexity improvements. All attacks are treated for the case of AES-128 and are practically validated on a widespread 8-bit RISC microcontroller.