Secret-Key Agreement by Asynchronous EEG over Authenticated Public Channels

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, t...

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Bibliographic Details
Main Authors: Meiran Galis, Milan Milosavljević, Aleksandar Jevremović, Zoran Banjac, Aleksej Makarov, Jelica Radomirović
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/10/1327
Description
Summary: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.
ISSN:1099-4300