scholarly journals SoC It to EM: ElectroMagnetic Side-Channel Attacks on a Complex System-on-Chip

Author(s):  
J. Longo ◽  
E. De Mulder ◽  
D. Page ◽  
M. Tunstall

Author(s):  
Sebanjila Kevin Bukasa ◽  
Ronan Lashermes ◽  
Hélène Le Bouder ◽  
Jean-Louis Lanet ◽  
Axel Legay


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.



2014 ◽  
Vol 981 ◽  
pp. 431-434
Author(s):  
Zhan Peng Jiang ◽  
Rui Xu ◽  
Chang Chun Dong ◽  
Lin Hai Cui

Network on Chip(NoC),a new proposed solution to solve global communication problem in complex System on Chip (SoC) design,has absorbed more and more researchers to do research in this area. Due to some distinct characteristics, NoC is different from both traditional off-chip network and traditional on-chip bus,and is facing with the huge design challenge. NoC router design is one of the most important issues in NoC system. The paper present a high-performance, low-latency two-stage pipelined router architecture suitable for NoC designs and providing a solution to irregular 2Dmesh topology for NoC. The key features of the proposed Mix Router are its suitability for 2Dmesh NoC topology and its capability of suorting both full-adaptive routing and deterministic routing algorithm.





2015 ◽  
Vol 132 (6) ◽  
pp. 269-273
Author(s):  
Martin Horauer ◽  
Dominik Widhalm ◽  
Stefan Tauner ◽  
Stefan Mirtl


2020 ◽  
Author(s):  
Somdip Dey ◽  
Amit Kumar ◽  
Klaus D. Mcdonald-Maier

<div><div><div><p>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 brief, 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.</p></div></div></div>





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