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High-Rate Secret Key Generation Using Physical Layer Security and Physical Unclonable Functions
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  • Tasneem Assaf ,
  • Arafat Al-Dweik ,
  • Youssef Iraqi ,
  • Sobia Jangsher ,
  • Anshul Pandey ,
  • Jean-Pierre Giacalone ,
  • Enas Abulibdeh ,
  • Hani Saleh ,
  • Baker Mohammad
Tasneem Assaf
Khalifa University

Corresponding Author:[email protected]

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Arafat Al-Dweik
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Youssef Iraqi
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Sobia Jangsher
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Anshul Pandey
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Jean-Pierre Giacalone
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Enas Abulibdeh
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Hani Saleh
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Baker Mohammad
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Abstract

Physical layer security (PLS) can be adopted for efficient key sharing in secured wireless systems. The random nature of the wireless channel and channel reciprocity (CR) are the main pillars for realizing PLS techniques. However, for applications that involve air-to-air (A2A) transmission, such as unmanned aerial vehicle (UAV) applications, the channel does not generally have sufficient randomness to enable reliable key generation. Therefore, this work proposes a novel system design to mitigate the channel randomness constraint and enable high-rate secret key generation (SKG) process. The proposed system integrates physically unclonable functions (PUFs) and CR principle to securely exchange secret keys between two nodes. Moreover, an adaptive and controllable artificial fading (AF) level with interleaving is used to mitigate the impact of low randomness variations in the wireless channel. The proposed system can operate efficiently even when the channel is nearly flat or time invariant. Consequently, the time required for generating and sharing a key is significantly shorter than conventional techniques. We also propose a novel bit extraction scheme that reduces the number of overhead bits required to share the intermediate keys. The obtained Monte Carlo simulation results show that a key agreement can be reached at the first trial for moderate and high signal-to-noise ratios (SNRs), which is substantially faster than other PLS techniques. Moreover, the results show that inducing AF into static channels reduces the mismatch ratio between the generated secret sequences and degrades the eavesdropper’s capability to predict the secret keys.
2023Published in IEEE Open Journal of the Communications Society volume 4 on pages 209-225. 10.1109/OJCOMS.2023.3234338