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Volume 45 Issue 4
Apr.  2019
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Journal of Beijing University of Aeronautics and Astronautics  > 2019  >  45(4): 821-826.
WANG Peijing, LIU Qiang. Mixed-grain parity-code-based fault detection method against fault injection[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(4): 821-826. doi: 10.13700/j.bh.1001-5965.2018.0464(in Chinese)
Citation: WANG Peijing, LIU Qiang. Mixed-grain parity-code-based fault detection method against fault injection[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(4): 821-826. doi: 10.13700/j.bh.1001-5965.2018.0464(in Chinese)
shu

Mixed-grain parity-code-based fault detection method against fault injection

doi: 10.13700/j.bh.1001-5965.2018.0464
  • 1.

    School of Microelectronics, Tianjin University, Tianjin 300072, China

  • 2.

    Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin 300072, China

Funds:

National Natural Science Foundation of China 61574099

More Information
  • Corresponding author: LIU Qiang, E-mail: qiangliu@tju.edu.cn
  • Received Date: 03 Aug 2018
  • Accepted Date: 14 Sep 2018
  • Publish Date: 20 Apr 2019
    Abstract

  • For efficient countermeasure against fault injection attacks, a mixed-grain parity-code-based fault detection approach was proposed. Traditional parity-code-based fault detection approach assigns a parity bit per n bits, representing the parity of the n-bit word. As n decreases, the number of parity bits increases, leading to increased resource usage and fault detection rate. To achieve tradeoff between fault coverage and resource usage, the fine-grain parity code (small n) was applied to the data processed in the fault-sensitive parts or critical parts of circuits, and the coarse-grain parity code was applied to other parts of circuits. The approach was applied to RC5 encryption algorithm to explain the principle and application of the mixed-grain parity-code-based fault detection technology, and to theoretically analyze the fault coverage and resource usage of different grain solutions. The experimental results show that, compared to the RC5 circuit with one parity bit per 32 bit, the mixed-grain parity-code-based detection approach improves the fault coverage by 29.44% and increases resource usage slightly by 2.48%.

     

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