How to Secure Scan Design Against Scan-Based Side-Channel Attacks?

Author(s):  
Wei Zhou ◽  
Aijiao Cui ◽  
Huawei Li ◽  
Gang Qu
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Weizheng Wang ◽  
Yin Chen ◽  
Shuo Cai ◽  
Yan Peng

Scan test is widely used in integrated circuit test. However, the excellent observability and controllability provided by the scan test gives attackers an opportunity to obtain sensitive information by using scan design to threaten circuit security. Hence, the primary motivation of this paper is to improve the existing DFT technique, i.e., to enhance the chip security on the premise of guaranteeing test quality. In this paper, we propose a new scan design method against scan-based side-channel attack. In the proposed method, the encryption structure is adopted, which requires the correct test authorization code to carry out normal test operation. Without the correct test authorization, the attackers cannot obtain the desired scan data, preventing the scan-based side-channel attacks. Furthermore, the test authorization code is determined by the nonvolatile memory built into the chip to realize the inconsistency of the test authorization code for each chip.


Author(s):  
Satyadev Ahlawat ◽  
Darshit Vaghani ◽  
Jaynarayan Tudu ◽  
Virendra Singh

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

2021 ◽  
Vol 13 (6) ◽  
pp. 146
Author(s):  
Somdip Dey ◽  
Amit Kumar Singh ◽  
Klaus McDonald-Maier

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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