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Improved Side-Channel Attack on CTR DRBG Using a Clustering Algorithm.

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  • 1Department of Financial Information Security, Kookmin University, Seoul 02707, Republic of Korea.

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Summary
This summary is machine-generated.

This study enhances a side-channel attack on deterministic random bit generators (DRBG) used in IoT devices. By incorporating clustering, the improved attack boosts success rates and operates effectively in noisy environments, posing a greater security threat.

Keywords:
AESDRBGblock ciphercounter modeside-channel attack

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Area of Science:

  • Cryptography and Information Security
  • Embedded Systems Security
  • Side-Channel Analysis

Background:

  • Deterministic Random Bit Generators (DRBG) are vital for cryptographic security in IoT devices.
  • Attacks on DRBGs can compromise sensitive information like keys, threatening entire systems.
  • Meyer's 2020 side-channel attack (SCA) targeted the NIST standard AES CTR DRBG using power consumption analysis.

Purpose of the Study:

  • To enhance Meyer's SCA method against the AES CTR DRBG.
  • To improve the success rate and information recovery of the attack.
  • To enable attacks in environments with higher noise levels.

Main Methods:

  • The proposed method integrates a clustering algorithm into Meyer's four-stage SCA.
  • Clustering is applied in the first stage to increase success rate and information gain.
  • The clustering results are used to improve accuracy in subsequent attack stages.

Main Results:

  • The enhanced attack demonstrated a higher success rate in the first stage compared to Meyer's attack across all noise levels.
  • Performance improvements of up to 50% were observed at high noise levels in the initial stage.
  • Steps 3 and 4 of the attack showed an average performance improvement of 18.5% over the original method.

Conclusions:

  • The proposed clustering-enhanced SCA significantly improves the effectiveness of attacks on AES CTR DRBGs.
  • The enhanced attack is more resilient to noise, expanding the range of vulnerable devices and environments.
  • This research highlights increased security risks for IoT devices employing CTR DRBGs against sophisticated side-channel attacks.