bioavailability 发表于 2025-3-28 15:54:33
http://reply.papertrans.cn/87/8687/868619/868619_41.pngPRO 发表于 2025-3-28 19:15:52
Yet Another Size Record for AES: A First-Order SCA Secure AES S-Box Based on , Multiplication, multiplication chain of length 4. Based on this representation, we showcase a very compact S-box circuit with only one .-multiplier instance. Thereby, we introduce a new high-level representation of the AES S-box and set a new record for the smallest first-order secure implementation.Genetics 发表于 2025-3-29 00:52:50
http://reply.papertrans.cn/87/8687/868619/868619_43.png恸哭 发表于 2025-3-29 07:07:43
0302-9743 vanced Applications, CARDIS 2018, held in Monpellier, France, in November 2018..The 13 revised full papers presented in this book were carefully reviewed and selected from 28 submissions...CARDIS has provided a space for security experts from industry and academia to exchange on security of smart caOffensive 发表于 2025-3-29 08:45:49
http://reply.papertrans.cn/87/8687/868619/868619_45.pngCanary 发表于 2025-3-29 11:41:21
Non-profiled Mask Recovery: The Impact of Independent Component Analysis, re-computation schemes as well as the masking scheme in DPAContest V4.2. We propose a novel approach based on Independent Component Analysis (ICA) to efficiently utilise the information from several leakage points to reconstruct the respective masks (for each trace) and show it is a competitive attack vector in practice.DENT 发表于 2025-3-29 15:49:12
http://reply.papertrans.cn/87/8687/868619/868619_47.pngBricklayer 发表于 2025-3-29 22:58:06
Convolutional Neural Network Based Side-Channel Attacks in Time-Frequency Representations,rts have been paid to develop profiled attacks from Template Attacks to deep learning based attacks. However, most attacks are performed in time domain – may lose frequency domain information. In this paper, to utilize leakage information more effectively, we propose a novel deep learning based sideGum-Disease 发表于 2025-3-30 02:10:48
http://reply.papertrans.cn/87/8687/868619/868619_49.pngoptic-nerve 发表于 2025-3-30 05:48:35
Improving Side-Channel Analysis Through Semi-supervised Learning,ker) gains access to a profiling device to build a precise model which is used to attack another device in the attacking phase. Mostly, it is assumed that the attacker has significant capabilities in the profiling phase, whereas the attacking phase is very restricted. We step away from this assumpti