Abstract
This study proposes a key generation cryptosystem based on EEG signals to strengthen security protection for blockchain transactions. For the purpose of gathering brain signals, our system includes an 8-channel custom - designed EEG device. To extract spectral power values over five distinct frequency bands, including the delta band (1–4 Hz), the theta band (4–8 Hz), the alpha band (8–13 Hz), the beta (13–36 Hz), and the gamma band (36–50 Hz), a feature extraction method named the Multitaper spectral power density estimation is performed. Reed-Solomon error correction code is employed to rectify feature set errors to compatible values. Our system utilizes two major algorithms to generate cryptographic keys: enrollment and key creation. The evaluation’s results prove the feasibility and efficiency of our EEG-based cryptographic key generation in boosting the security of blockchain transaction with the equal error rate (EER) of 0.368/0.368 (FRR/FAR).
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Mai, ND., Nguyen, HT., Chung, WY. (2023). EEG-Based Key Generation Cryptosystem for Strengthening Security of Blockchain Transactions. In: Zaynidinov, H., Singh, M., Tiwary, U.S., Singh, D. (eds) Intelligent Human Computer Interaction. IHCI 2022. Lecture Notes in Computer Science, vol 13741. Springer, Cham. https://doi.org/10.1007/978-3-031-27199-1_50
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DOI: https://doi.org/10.1007/978-3-031-27199-1_50
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