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Cryptographic Security: Countermeasures against Side-Channel Attacks
, 2014 Side channel attacks have become a serious threat to a cryptosystem. Even if a cryptographic algorithm is mathematically secure, its software or hardware implementation may leak information through side channels.
Kun Ma (126624)
core +6 more sources
Guarding Machine Learning Hardware Against Physical Side-channel Attacks [PDF]
ACM Journal on Emerging Technologies in Computing Systems, 2021 Machine learning (ML) models can be trade secrets due to their development cost. Hence, they need protection against malicious forms of reverse engineering (e.g., in IP piracy).
Anuj Dubey +3 more
semanticscholar +1 more source
IEEE Access, 2021 Cryptographic System-on-Chips (SoCs) are becoming more and more popular. In these systems, cryptographic accelerators are integrated with processor cores to provide users with the software’s flexibility and hardware’s high performance ...
Ba-Anh Dao +5 more
doaj +1 more source
IACR Cryptology ePrint Archive, 2022 This study derives information-theoretical bounds of the success rate (SR) of side-channel attacks on masked implementations. We first develop a communication channel model representing side-channel attacks on masked implementations.
Akira Ito, Rei Ueno, N. Homma
semanticscholar +1 more source
Applied Sciences, 2022 The privacy and security vulnerabilities in fifth-generation (5G)-enabled vehicular networks are often required to cope with schemes based on either bilinear pair cryptography (BPC) or elliptic curve cryptography (ECC). Nevertheless, these schemes suffer
Mahmood A. Al-Shareeda +8 more
semanticscholar +1 more source
Side-channel attacks based on MFF-CNN.
, 2022 Side-channel attacks based on MFF-CNN.
Junnian Wang (13970197) +4 more
core +1 more source
A Memory Hierarchy Protected against Side-Channel Attacks
Cryptography, 2022 In the vulnerability analysis of System on Chips, memory hierarchy is considered among the most valuable element to protect against information theft. Many first-order side-channel attacks have been reported on all its components from the main memory to ...
Ezinam Bertrand Talaki +3 more
doaj +1 more source
Optimizing Implementations of Non-Profiled Deep Learning-Based Side-Channel Attacks
IEEE Access, 2022 The differential deep learning analysis proposed by Timon is the first non-profiled side-channel attack technique that uses deep learning. The technique recovers the secret key using the phenomenon of deep learning metrics.
Donggeun Kwon, Seokhie Hong, Heeseok Kim
semanticscholar +1 more source
IMPLEMENTATION OF SIDE-CHANNEL LEAKAGE DETECTION TECHNIQUE BASED ON NORMALIZED INTER-CLASS VARIANCE METHOD [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2016 The paper presents anew mathematical method for parasitic signal analyzing. NICV (Normalized Inter-Class Variance) method allows reducing considerably of computing and time expenditure in carrying out side channel attacks.
A. B. Levina, P. S. Borisenko
doaj +1 more source
Vizard: Passing Over Profiling-Based Detection by Manipulating Performance Counters
IEEE Access, 2023 Cache side-channel attacks have been serious security threats to server computer systems, thus researchers have proposed software-based defense approaches that can detect the security attacks. Profiling-based detectors are lightweight detection solutions
Minkyu Song, Taeweon Suh, Gunjae Koo
doaj +1 more source