Assessing CPA resistance of AES with different fault tolerance mechanisms

Pahlevanzadeh, Hoda; Dofe, Jaya; Yu, Qiaoyan

doi:10.1109/aspdac.2016.7428087

Cited by 34 publications

(11 citation statements)

References 15 publications

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“…Guessing Entropy The Guessing Entropy is the expected rank among all possible keys: GE = K∈K (Rank(K)) . If subkeys are recovered individually, then the entropy is guessed for each subkey K k separately and Partial Guessing Entropy, PGE, is used as the estimation metric [47].…”

Section: Estimation Metricsmentioning

confidence: 99%

Tandem Deep Learning Side-Channel Attack on FPGA Implementation of AES

Wang

Dubrova

2021

SN COMPUT. SCI.

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Side-channel attacks have become a realistic threat to implementations of cryptographic algorithms, especially with the help of deep-learning techniques. The majority of recently demonstrated deep-learning side-channel attacks use a single neural network classifier to extract the secret from implementations of cryptographic algorithms. The potential benefits of combining multiple classifiers using the ensemble learning method have not been fully explored in the side-channel attack’s context. In this paper, we propose a tandem approach for the attack in which multiple models are trained on different attack points but are used in parallel to recover the key. Such an approach allows us to considerably reduce (33.5% on average) the number of traces required to recover the key from an FPGA implementation of AES by power analysis. We also show that not all combinations of classifiers improve the attack efficiency.

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Section: Estimation Metricsmentioning

confidence: 99%

Tandem Deep Learning Side-Channel Attack on FPGA Implementation of AES

Wang

Dubrova

2021

SN COMPUT. SCI.

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“…The author in [31] shows the impact of the countermeasure for one type of attack on the efficiency of another type of attack has been well explored.…”

Section: B Proposed Sca-countermeasure For Aes Cryptocorementioning

confidence: 99%

Power-based Side Channel Analysis and Fault Injection: Hacking Techniques and Combined Countermeasure

Benhadjyoussef¹,

Karmani²,

Machhout³

2021

IJACSA

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Over the last years, physical attacks have been massively researched due to their capability to extract secret information from cryptographic engine. These hacking techniques are based on exploiting information from physical implementations instead of cryptographic algorithm flaws. Faultinjection attacks (FA) and Side-channel analysis (SCA) are the most popular techniques of implementation attacks. Aiming to secure cryptographic devices against such attacks, many studies have proposed a variety of developed and sophisticated countermeasures. Hence, the majority of these secured approaches are used for precise and single attack and it is difficult to thwart hybrid attack, such as combined power and fault attacks. In this work, the Advanced Encryption Standard is used as a case study in order to analyse the most well-known physical-based Hacking techniques: Differential Fault Analysis (DFA) and Correlation Power Analysis (CPA). Consequently, with the knowledge of such contemporary hacking technique, we proposed a low overhead countermeasure for the AES implementation that combines the concept of correlated power noise generating with a combined-approach based fault detection scheme.

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“…Thus, it provides a very suitable environment for studying side-channel analysis. This device is also used in several articles and books about side-channel analysis [44]- [47]. To use the device, the open-source ChipWhisperer Capture and ChipWhisperer Analyzer programs can be downloaded free of charge from the manufacturer's website [48].…”

Section: Experiments Set For Side-channel Analysismentioning

confidence: 99%

Side-Channel Analysis of Chaos-Based Substitution Box Structures

2019

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There is a theoretically strong relationship between chaos and cryptology. In practice, one of the most successful applications of this relationship is chaos-based s-box structures. However, the performance metrics of chaos-based s-box designs are worse compared to those for s-box structure based on algebraic techniques used in modern encryption algorithms, such as the AES algorithm. What is the reason for using chaos-based s-box structures, even though they have worse cryptographic characteristics? Researchers claim that they may be an alternative defense against implementation attacks, especially side-channel analyses. However, no studies have supported or refuted this claim so far. In this paper, side-channel analyses have been performed for two different chaos-based s-box structures. These two s-box structures have been selected for having with the best and worst performance measurements for s-box structures previously proposed in the literature. The results were compared with the AES s-box structure. Analysis of the results showed that chaos-based s-box structures are more resistant against side-channel attacks. Therefore, chaos-based designs may be an alternative defense against implementation attacks, as alleged. However, both algebraic and chaos-based s-box designs have been observed to be insecure if the attacker has more than 30 plaintexts in the side channel analyses. These results show that implementation analysis studies are required in the chaos-based cryptology literature.INDEX TERMS Chaos, cryptography, s-box, side-channel analysis, AES.

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Assessing CPA resistance of AES with different fault tolerance mechanisms

Cited by 34 publications

References 15 publications

Tandem Deep Learning Side-Channel Attack on FPGA Implementation of AES

Tandem Deep Learning Side-Channel Attack on FPGA Implementation of AES

Power-based Side Channel Analysis and Fault Injection: Hacking Techniques and Combined Countermeasure

Side-Channel Analysis of Chaos-Based Substitution Box Structures

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