Manifold Learning Side-Channel Attacks against Masked Cryptographic Implementations

ePrint Report: Manifold Learning Side-Channel Attacks against Masked Cryptographic Implementations

Jianye Gao, Xinyao Li, Changhai Ou, Zhu Wang, Fei Yan

Masking, as a common countermeasure, has been widely utilized to protect cryptographic implementations against power side-channel attacks. It significantly enhances the difficulty of attacks, as the sensitive intermediate values are randomly partitioned into multiple parts and executed on different times. The adversary must amalgamate information across diverse time samples before launching an attack, which is generally accomplished by feature extraction …

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