Side-Channel Attacks on the Mobile Phones: Applicability and Improvements

Author(s):  
Roman Mostovoy ◽  
Pavel Borisenko ◽  
Daria Sleptsova ◽  
Alla Levina ◽  
Igor Zikratiov
Author(s):  
R. A. Mostovoy ◽  
A. B. Levina ◽  
D. M. Sleptsova ◽  
P. S. Borisenko

Currently, attacks on side channels are the main method of cryptanalysis, but despite this, these attacks have a very specific model of the attacker. As a result, the practical usage of side-channel attacks is sometimes disputable. The level of threat in each case should be assessed taking into account the individual characteristics of a specific target system. Client applications, such as mobile phone applications, are especially vulnerable due to easy access to the device, so it's required to pay sufficient attention to their security, since they are more accessible to the attacker and usually contain a large amount of confidential information. This study represents an assessment of the informativeness of signals from side channels received from mobile phones. The studies used not expensive equipment to minimize the requirements for the level of the attacker and, consequently, increase the applicability of the attack. This undoubtedly leads to the complication of the attacks, so the NICV algorithm was used to analyze the data obtained. The NICV (normalized interclass variance) algorithm can significantly improve the efficiency of the analysis of the traces obtained during an attack by reducing the number of points.


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.


2021 ◽  
Vol 21 (3) ◽  
pp. 1-20
Author(s):  
Mohamad Ali Mehrabi ◽  
Naila Mukhtar ◽  
Alireza Jolfaei

Many Internet of Things applications in smart cities use elliptic-curve cryptosystems due to their efficiency compared to other well-known public-key cryptosystems such as RSA. One of the important components of an elliptic-curve-based cryptosystem is the elliptic-curve point multiplication which has been shown to be vulnerable to various types of side-channel attacks. Recently, substantial progress has been made in applying deep learning to side-channel attacks. Conceptually, the idea is to monitor a core while it is running encryption for information leakage of a certain kind, for example, power consumption. The knowledge of the underlying encryption algorithm can be used to train a model to recognise the key used for encryption. The model is then applied to traces gathered from the crypto core in order to recover the encryption key. In this article, we propose an RNS GLV elliptic curve cryptography core which is immune to machine learning and deep learning based side-channel attacks. The experimental analysis confirms the proposed crypto core does not leak any information about the private key and therefore it is suitable for hardware implementations.


2021 ◽  
pp. 1-1
Author(s):  
Youshui Lu ◽  
Yong Qi ◽  
Saiyu Qi ◽  
Fuyou Zhang ◽  
Wei Wei ◽  
...  

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