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Focus is Key to Success: A Focal Loss Function for Deep Learning-Based Side-Channel Analysis
, 2022 The deep learning-based side-channel analysis represents one of the most powerful side-channel attack approaches. Thanks to its capability in dealing with raw features and countermeasures, it becomes the de facto standard approach for the SCA community ...
Wu, L. (author) +3 more
core +1 more source
Overview of Side Channel Analysis Based on Convolutional Neural Network [PDF]
Jisuanji kexue, 2022 The profiled side-channel analysis method can effectively attack the implementation of cryptographic,and the side-channel cryptanalysis method based on convolutional neural network (CNNSCA) can efficiently carry out cryptographic attacks,and even can ...
LIU Lin-yun, CHEN Kai-yan, LI Xiong-wei, ZHANG Yang, XIE Fang-fang
doaj +1 more source
On XTR and Side-Channel Analysis [PDF]
, 2004 Over the past few years, there has been a large volume of work on both attacking elliptic curve cryptosystems (ECC) using side-channel analysis and the development of related defence methods. Lenstra and Verheul recently introduced XTR, a cryptosystem that can compete with ECC in terms of processing and bandwidth requirements. These properties make XTR
Page, Daniel, Stam, Martijn
openaire +1 more source
Transactions on Cryptographic Hardware and Embedded Systems, 2019 Masking is a well loved and widely deployed countermeasure against side channel attacks, in particular in software. Under certain assumptions (w.r.t.
Si Gao +3 more
doaj +1 more source
Hypothesis Testing Based Side-Channel Collision Analysis
IEEE Access, 2019 Side-channel collision analysis has become a research hotspot since its first publication in 2003. Compared with differential power analysis (DPA) and correlation power analysis (CPA), collision analysis does not need to know the intermediate value and ...
Dong Zheng, Xiang Jia, Meiling Zhang
doaj +1 more source
Journal of Low Power Electronics and Applications, 2022 Exchanging FPGA-based implementations of cryptographic algorithms during run-time using netlist randomized versions has been introduced recently as a unique countermeasure against side channel attacks.
Ali Asghar +2 more
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Deep Learning Side-Channel Collision Attack
Transactions on Cryptographic Hardware and Embedded Systems, 2023 With the breakthrough of Deep Neural Networks, many fields benefited from its enormously increasing performance. Although there is an increasing trend to utilize Deep Learning (DL) for Side-Channel Analysis (SCA) attacks, previous works made specific ...
Marvin Staib, Amir Moradi
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, 2022 S.3-19The success probability of side-channel attacks depends on the used measurement techniques as well as the algorithmic processing to exploit available leakage.
Specht, R. +3 more
core +1 more source
Full key recovery side-channel attack against ephemeral SIKE on the Cortex-M4 [PDF]
, 2021 This paper describes the first practical single-trace side-channel power analysis of SIKE. While SIKE is a post-quantum key exchange, the scheme still relies on a secret elliptic curve scalar multiplication which involves a loop of a double-and-add ...
Aymeric Genêt +6 more
core +1 more source
Single Trace Side Channel Analysis on NTRU Implementation
Applied Sciences, 2018 As researches on the quantum computer have progressed immensely, interests in post-quantum cryptography have greatly increased. NTRU is one of the well-known algorithms due to its practical key sizes and fast performance along with the resistance against
Soojung An +4 more
doaj +1 more source