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

TSGX: Defeating SGX Side Channel Attack with Support of TPM

2021 ◽  
Author(s):  
Zhou Hongwei ◽  
Ke Zhipeng ◽  
Zhang Yuchen ◽  
Wu Dangyang ◽  
Yuan Jinhui
Keyword(s):  
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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