New Methods of Template Attack Based on Fault Sensitivity Analysis

Wang, Qian; Wang, An; Qu, Gang; Zhang, Guoshuang

doi:10.1109/tmscs.2016.2643638

Cited by 14 publications

(3 citation statements)

References 15 publications

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“…The information of these leaks has a certain relationship with the data at runtime. The adversary can effectively recover the key by analysing the information [1–3].…”

Section: Introductionmentioning

confidence: 99%

Research on a high‐order AES mask anti‐power attack

2020

IET Information Security

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“…The information of these leaks has a certain relationship with the data at runtime. The adversary can effectively recover the key by analysing the information [1–3].…”

Section: Introductionmentioning

confidence: 99%

Research on a high‐order AES mask anti‐power attack

2020

IET Information Security

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“…However in the scene of edge computing, the adversary can usually hold or touch the edge servers and IoT devices. So, he can conduct some physical attacks on the edge servers and IoT devices, such as power attack [4], fault injection [5], [6], cache attack [7], etc.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Collision Power Attack on AES Encryption in Edge Computing

Niu

Zhang²,

Wang

et al. 2019

IEEE Access

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Edge computing has become a promising paradigm for the context-aware and delay-sensitive IoT data analytics. For the sake of security, some cryptographic algorithms such as AES, RSA, and so on, are employed for the encryption communication and authentication. The collision power attack is a typical physical attack to recover the secret key of the AES algorithm. However, almost all collision attacks aim at the detection of internal collisions caused by the output of S-boxes, and the linear layers are not concerned with those protected implementations. The relation between the mask and the masked data has been given little attention and stays as is, where the leakages still exist. In this paper, we focus on three typical AES implementations in edge computing, and propose a new type of collision attack by making use of leakages from linear layers, which is capable of breaking masking schemes with uniformly distributed random masks. In addition, a novel scalable collision attack of general applicability and high-efficiency is proposed and applied to masked linear layers and masked S-boxes. It can reach an equal level of performance compared to the second-order power analysis with acceptable off-line search, which improves the known collision attacks significantly. INDEX TERMS Edge computing, collision attack, scalable collision, side-channel attack, linear layer.

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“…The statistical algorithm of template matching, which is widely used in pattern recognition of image processing, could solve this problem effectively [26], [27]. Template matching method could be employed for fault sensitivity analysis [28]. Several representation methods of equipment fault feature based on template matching has also been proposed [29], [30].…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of Reciprocating Compressor Using Component Estimating Empirical Mode Decomposition and De-Dimension Template With Double-Loop Correction Algorithm

et al. 2019

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This paper presents an approach to implement multi-parameter (i.e., pressure, temperature, vibration, current, and liquid level) signals for fault diagnosis of the reciprocating compressor (RC). Due to the complexity of structure and motion of such compressor, the acquired signals involve transient impacts and noises. This causes the useful information to be corrupted and makes it difficult to diagnose the fault patterns accurately. A component estimating empirical mode decomposition (CEEMD) method is proposed to remove the random noise and improve data quality. Furthermore, a new template matching algorithm called de-dimension template with double-loop correction (DDT-DLC) is applied to diagnose the fault pattern contained in the time series signals. The DDT employs a judging criterion for key characterization parameters extraction and a multicellular parameter fusion method to reduce the dimension of the matching template, and then, the DLC supplies a double-loop correction algorithm to build a parameter state array computing model of the time series data by adjusting the dynamic factors. The proposed approach is validated with three fault patterns and the healthy pattern in a two-stage reciprocating air compressor. To confirm the superiority of the proposed method, its performance is compared with that of the traditional methods. The results have indicated that the proposed approach is of highly diagnostic accuracy and shortly computing time in the fault diagnosis.INDEX TERMS Fault diagnosis, component estimating empirical mode decomposition (CEEMD), de-dimension template (DDT), double-loop correction algorithm (DLC).

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New Methods of Template Attack Based on Fault Sensitivity Analysis

Cited by 14 publications

References 15 publications

Research on a high‐order AES mask anti‐power attack

Research on a high‐order AES mask anti‐power attack

An Efficient Collision Power Attack on AES Encryption in Edge Computing

Fault Diagnosis of Reciprocating Compressor Using Component Estimating Empirical Mode Decomposition and De-Dimension Template With Double-Loop Correction Algorithm

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