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This study introduces a hardware design using analog-to-digital converters (ADCs) to detect fault injection attacks on cryptographic circuits. The method effectively prevents data leakage by identifying physical attacks like voltage and temperature variations.

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Area of Science:

  • Hardware security
  • Cryptography
  • Embedded systems

Background:

  • Confidential data requires protection via cryptographic algorithms.
  • Physical implementations of these algorithms are vulnerable to fault injection attacks.
  • Fault injection attacks exploit device malfunctions to leak sensitive information.

Purpose of the Study:

  • To present a hardware design methodology using analog-to-digital converters (ADCs).
  • To detect physical attacks on cryptocircuits and prevent information leakage.
  • To enhance the security of data exchanged between connected devices.

Main Methods:

  • Developed FPGA-based ADC modules to monitor temperature and supply voltage.
  • Implemented setups to test the detection scheme against voltage, temperature, and electromagnetic pulse variations.
  • Designed a system to detect anomalies during fault injection attempts.

Main Results:

  • The proposed ADC-based detectors successfully identified 100% of fault injection attacks.
  • An alarm signal was activated upon detecting deviations from the normal operating range.
  • Confidential information leakage was effectively prevented during simulated attacks.

Conclusions:

  • The hardware design methodology using ADCs provides robust protection against fault injection attacks.
  • The system ensures data confidentiality by detecting and mitigating physical security threats.
  • This approach significantly enhances the security of cryptographic implementations in connected devices.