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Entropy (Basel). 2021 Oct 11;23(10). doi: 10.3390/e23101327.

Secret-Key Agreement by Asynchronous EEG over Authenticated Public Channels.

Entropy (Basel, Switzerland)

Meiran Galis, Milan Milosavljević, Aleksandar Jevremović, Zoran Banjac, Aleksej Makarov, Jelica Radomirović

Affiliations

  1. Vlatacom Institute of High Technology, Milutina Milankovica 5, 11070 Belgrade, Serbia.
  2. Technical Faculty, Singidunum University, Danijelova 32, 11000 Belgrade, Serbia.

PMID: 34682051 PMCID: PMC8534527 DOI: 10.3390/e23101327

Abstract

In this paper, we propose a new system for a sequential secret key agreement based on 6 performance metrics derived from asynchronously recorded EEG signals using an EMOTIV EPOC+ wireless EEG headset. Based on an extensive experiment in which 76 participants were engaged in one chosen mental task, the system was optimized and rigorously evaluated. The system was shown to reach a key agreement rate of 100%, a key extraction rate of 9%, with a leakage rate of 0.0003, and a mean block entropy per key bit of 0.9994. All generated keys passed the NIST randomness test. The system performance was almost independent of the EEG signals available to the eavesdropper who had full access to the public channel.

Keywords: CASCADE; EEG; Wisconsin Card Sorting Test; advantage distillation; information reconciliation; key distillation

References

  1. Comput Intell Neurosci. 2018 May 22;2018:1867548 - PubMed

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