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Industrial Networks and Intelligent Systems. 8th EAI International Conference, INISCOM 2022, Virtual Event, April 21–22, 2022, Proceedings

Research Article

Performance Analysis of Non-profiled Side Channel Attack Based on Multi-layer Perceptron Using Significant Hamming Weight Labeling

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  • @INPROCEEDINGS{10.1007/978-3-031-08878-0_17,
        author={Ngoc-Tuan Do and Van-Phuc Hoang and Van Sang Doan},
        title={Performance Analysis of Non-profiled Side Channel Attack Based on Multi-layer Perceptron Using Significant Hamming Weight Labeling},
        proceedings={Industrial Networks and Intelligent Systems. 8th EAI International Conference, INISCOM 2022, Virtual Event, April 21--22, 2022, Proceedings},
        proceedings_a={INISCOM},
        year={2022},
        month={6},
        keywords={Hardware security Non-profile side channel attack Advanced Encryption Standard (AES) Multilayer perceptron (MLP) Imbalanced classes},
        doi={10.1007/978-3-031-08878-0_17}
    }
    
  • Ngoc-Tuan Do
    Van-Phuc Hoang
    Van Sang Doan
    Year: 2022
    Performance Analysis of Non-profiled Side Channel Attack Based on Multi-layer Perceptron Using Significant Hamming Weight Labeling
    INISCOM
    Springer
    DOI: 10.1007/978-3-031-08878-0_17
Ngoc-Tuan Do1, Van-Phuc Hoang1,*, Van Sang Doan2
  • 1: Institute of System Integration
  • 2: Faculty of Communications and Radar
*Contact email: phuchv@lqdtu.edu.vn

Abstract

Deep learning (DL) techniques have become popular for side-channel analysis (SCA) in the recent years. This paper proposes and evaluates the applications of multilayer perceptron (MLP) models for non-profiled attacks on the AES-128 encryption implementation in different scenarios, such as high dimensional data, imbalanced classes, and the impact of additive noise. Along with the designed models, a labeling technique called significant Hamming weight (SHW) and dataset reconstruction method are introduced for solving the imbalanced dataset problem. In addition, using SHW in the non-profiled context can reduce the number of measurements needed by approximately 30%. The experimental results show that the DL based SCA with our reconstructed dataset for different targets of ASCAD, RISC-V microcontroller has achieved a higher performance of non-profiled attacks. Comparing to the binary labeling technique, SHW labeling provides better results with the presence of the additive noise.

Keywords
Hardware security Non-profile side channel attack Advanced Encryption Standard (AES) Multilayer perceptron (MLP) Imbalanced classes
Published
2022-06-14
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-08878-0_17
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