Securing software cryptographic primitives for embedded systems against side channel attacks

Author(s):  
Giovanni Agosta ◽  
Alessandro Barenghi ◽  
Gerardo Pelosi
Author(s):  
Shaminder Kaur ◽  
Balwinder Singh ◽  
Harsimran Jit Kaur

Embedded systems have a plethora of security solutions and encryption protocols that can protect them against a multitude of attacks. Hardware engineers infuse lot of time and effort in implementing cryptographic algorithms, keeping the analysis of design constraints into rumination. When it comes to designs in potential hostile environment, engineers face a challenge for building resistance-free embedded systems against attacks called side channel attacks. Therefore, there is a strong need to address issues related to side channel attacks. This chapter will provide an insight into the field of hardware security, and will provide a deep investigation of various types of side channel attacks and better understanding of various power analysis tools, which will further give researchers a vision to build efficient and secure systems in order to thwart attacks. This chapter mainly focuses on passive attacks as compared to active attacks since passive attacks are easy to perform and lot of research is going on these attacks.


Author(s):  
Jude Angelo Ambrose ◽  
Roshan G. Ragel ◽  
Darshana Jayasinghe ◽  
Tuo Li ◽  
Sri Parameswaran

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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