scholarly journals A Self-Healing Cryptosystem Design Prevent from Side-Channel Attack

2012 ◽  
Vol 6-7 ◽  
pp. 200-204
Author(s):  
Jian Bo Yao ◽  
Tao Zhang
Keyword(s):  
Design Method ◽  
Side Channel ◽  
Self Healing ◽  
Side Channel Attack ◽  
Channel Measurement ◽  
Cryptographic Algorithm ◽  
Non Destructive

Side-channel attack is a non destructive physical attacks method. In view of existing cryptosystem of Side-channel leakage of safe hidden trouble, this paper presents a kind of self-healing properties with the cryptosystem design method. Firstly, a new masking method is proposed, and it restricts the side channel measurement by inserting some measure-disabled points into the cryptographic algorithm. And then, a masking update technique is applied for making the side-channel leakage invalid. Compared with previous countermeasures, our method has stronger ability of self-healing and it also resists to complex side-channel attack.

scholarly journals Insert Random Time-Delay Defense High Order Side-Channel Attack

2012 ◽  
Vol 6-7 ◽  
pp. 169-174
Author(s):  
Jian Bo Yao ◽  
Tao Zhang
Keyword(s):  
Time Delay ◽  
Higher Order ◽  
High Order ◽  
Random Time ◽  
Side Channel ◽  
Statistic Analysis ◽  
Random Delay ◽  
Side Channel Attack ◽  
Cryptographic Algorithms ◽  
Non Destructive

Side-channel attack is a non destructive physical attacks method. The current cryptographic algorithms are vulnerable to higher-order side-channel attack. To defense high order Side-channel attack, in this paper, a new countermeasure based on inserting random delay is proposed to secure AES against higher-order side-channel attack. By inserting a redundant instruction, it is expected to reduce the correlation between the leakage and the inside operations, and thus make the statistic analysis infeasible. The simulation shows the method is efficiency.

Recent Research Trends in Side Channel Attack on Cryptographic Modules and its Countermeasure

2012 ◽  
Vol 132 (1) ◽  
pp. 9-12
Author(s):  
Yu-ichi Hayashi ◽  
Naofumi Homma ◽  
Takaaki Mizuki ◽  
Takafumi Aoki ◽  
Hideaki Sone
Keyword(s):  
Research Trends ◽  
Side Channel ◽  
Side Channel Attack

A Fast Power Current Simulation of Cryptographic VLSI Circuits for Side Channel Attack Evaluation

2013 ◽  
Vol E96.A (12) ◽  
pp. 2533-2541
Author(s):  
Daisuke FUJIMOTO ◽  
Toshihiro KATASHITA ◽  
Akihiko SASAKI ◽  
Yohei HORI ◽  
Akashi SATOH ◽  
...  
Keyword(s):  
Vlsi Circuits ◽  
Side Channel ◽  
Side Channel Attack ◽  
Fast Power

Scan-Based Side-Channel Attack on the Camellia Block Cipher Using Scan Signatures

2015 ◽  
Vol E98.A (12) ◽  
pp. 2547-2555 ◽  
Author(s):  
Huiqian JIANG ◽  
Mika FUJISHIRO ◽  
Hirokazu KODERA ◽  
Masao YANAGISAWA ◽  
Nozomu TOGAWA
Keyword(s):  
Block Cipher ◽  
Side Channel ◽  
Side Channel Attack

Analysis of Side-Channel Attack Based on Information Theory

2014 ◽  
Vol E97.A (7) ◽  
pp. 1523-1532
Author(s):  
Hiroaki MIZUNO ◽  
Keisuke IWAI ◽  
Hidema TANAKA ◽  
Takakazu KUROKAWA
Keyword(s):  
Information Theory ◽  
Side Channel ◽  
Side Channel Attack

scholarly journals Non-Profiled Side-Channel Attack Based on Deep Learning Using Picture Trace

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 22480-22492
Author(s):  
Yoo-Seung Won ◽  
Dong-Guk Han ◽  
Dirmanto Jap ◽  
Shivam Bhasin ◽  
Jong-Yeon Park
Keyword(s):  
Deep Learning ◽  
Side Channel ◽  
Side Channel Attack

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.

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