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Article

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

1
School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester CO4 3SQ, UK
2
Nosh Technologies, Colchester CO4 3SL, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Georgios Kambourakis
Future Internet 2021, 13(6), 146; https://doi.org/10.3390/fi13060146
Received: 22 March 2021 / Revised: 17 May 2021 / Accepted: 25 May 2021 / Published: 31 May 2021
(This article belongs to the Special Issue Security for Connected Embedded Devices)
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. View Full-Text
Keywords: multiprocessor system-on-chip (MPSoC); thermal behavior; temperature side-channel attack; security; machine learning; convolutional neural network (CNN); deep learning; energy efficiency; memory efficiency multiprocessor system-on-chip (MPSoC); thermal behavior; temperature side-channel attack; security; machine learning; convolutional neural network (CNN); deep learning; energy efficiency; memory efficiency
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MDPI and ACS Style

Dey, S.; Singh, A.K.; McDonald-Maier, K. ThermalAttackNet: Are CNNs Making It Easy to Perform Temperature Side-Channel Attack in Mobile Edge Devices? Future Internet 2021, 13, 146. https://doi.org/10.3390/fi13060146

AMA Style

Dey S, Singh AK, McDonald-Maier K. ThermalAttackNet: Are CNNs Making It Easy to Perform Temperature Side-Channel Attack in Mobile Edge Devices? Future Internet. 2021; 13(6):146. https://doi.org/10.3390/fi13060146

Chicago/Turabian Style

Dey, Somdip, Amit K. Singh, and Klaus McDonald-Maier. 2021. "ThermalAttackNet: Are CNNs Making It Easy to Perform Temperature Side-Channel Attack in Mobile Edge Devices?" Future Internet 13, no. 6: 146. https://doi.org/10.3390/fi13060146

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