scholarly journals A Study on Smartcard Security Evaluation Criteria for Side-Channel Attacks

2003 ◽  
Vol 10C (5) ◽  
pp. 557-564
Keyword(s):  
Evaluation Criteria ◽  
Security Evaluation ◽  
Side Channel ◽  
Side Channel Attacks

Leakage squeezing: Optimal implementation and security evaluation

2014 ◽  
Vol 8 (3) ◽  
Author(s):  
Claude Carlet ◽  
Jean-Luc Danger ◽  
Sylvain Guilley ◽  
Houssem Maghrebi
Keyword(s):  
Power Analysis ◽  
Hamming Distance ◽  
Security Evaluation ◽  
Side Channel ◽  
Side Channel Attacks ◽  
Correlation Power Analysis ◽  
Zero Offset ◽  
Sophisticated Analysis ◽  
Sensitive Variable ◽  
Optimal Implementation

AbstractHardware devices can be protected against side-channel attacks by introducing one random mask per sensitive variable. The computation throughout is unaltered if the shares (masked variable and mask) are processed concomitantly, in two distinct registers. Nonetheless, this setup can still be attacked if the side-channel is squared, because this operation causes an interference between the two shares. This more sophisticated analysis is referred to as a zero-offset second-order correlation power analysis (CPA) attack. When the device leaks in Hamming distance, the countermeasure can be improved by the “leakage squeezing”. It consists in manipulating the mask through a bijection, aimed at reducing the dependency between the shares' leakage. Thus

scholarly journals Deep Learning to Evaluate Secure RSA Implementations

2019 ◽  
pp. 132-161 ◽  
Author(s):  
Mathieu Carbone ◽  
Vincent Conin ◽  
Marie-Angela Cornélie ◽  
François Dassance ◽  
Guillaume Dufresne ◽  
...  
Keyword(s):  
Deep Learning ◽  
Power Consumption ◽  
High Potential ◽  
Security Evaluation ◽  
Side Channel ◽  
Side Channel Attacks ◽  
Rsa Algorithm ◽  
Attack Path ◽  
Secure Implementation

This paper presents the results of several successful profiled side-channel attacks against a secure implementation of the RSA algorithm. The implementation was running on a ARM Core SC 100 completed with a certified EAL4+ arithmetic co-processor. The analyses have been conducted by three experts’ teams, each working on a specific attack path and exploiting information extracted either from the electromagnetic emanation or from the power consumption. A particular attention is paid to the description of all the steps that are usually followed during a security evaluation by a laboratory, including the acquisitions and the observations preprocessing which are practical issues usually put aside in the literature. Remarkably, the profiling portability issue is also taken into account and different device samples are involved for the profiling and testing phases. Among other aspects, this paper shows the high potential of deep learning attacks against secure implementations of RSA and raises the need for dedicated countermeasures.

Countermeasure for Cryptographic Chips to Resist Side-Channel Attacks

2009 ◽  
Vol 19 (11) ◽  
pp. 2990-2998 ◽  
Author(s):  
Tao ZHANG ◽  
Ming-Yu FAN
Keyword(s):  
Side Channel ◽  
Side Channel Attacks

scholarly journals ThermalAttackNet: Are CNNs Making It Easy to Perform Temperature Side-Channel Attack in Mobile Edge Devices?

2021 ◽  
Vol 13 (6) ◽  
pp. 146
Author(s):  
Somdip Dey ◽  
Amit Kumar Singh ◽  
Klaus McDonald-Maier
Keyword(s):  
Information Flow ◽  
Heat Dissipation ◽  
Side Channel ◽  
Side Channel Attack ◽  
Side Channel Attacks ◽  
Information Flow Control ◽  
On Chip ◽  
Temperature Side ◽  
Over Time ◽  
Memory Efficient

Side-channel attacks remain a challenge to information flow control and security in mobile edge devices till this date. One such important security flaw could be exploited through temperature side-channel attacks, where heat dissipation and propagation from the processing cores are observed over time in order to deduce security flaws. In this paper, we study how computer vision-based convolutional neural networks (CNNs) could be used to exploit temperature (thermal) side-channel attack on different Linux governors in mobile edge device utilizing multi-processor system-on-chip (MPSoC). We also designed a power- and memory-efficient CNN model that is capable of performing thermal side-channel attack on the MPSoC and can be used by industry practitioners and academics as a benchmark to design methodologies to secure against such an attack in MPSoC.

scholarly journals How to fool a black box machine learning based side-channel security evaluation

2021 ◽  
Author(s):  
Charles-Henry Bertrand Van Ouytsel ◽  
Olivier Bronchain ◽  
Gaëtan Cassiers ◽  
François-Xavier Standaert
Keyword(s):  
Machine Learning ◽  
Black Box ◽  
Security Evaluation ◽  
Side Channel
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