The secure management of cold-stored digital assets is critically vulnerable when access control depends on a single key individual. Existing systems rely on passwords, hardware wallets, recovery phrases, or basic multi-signature mechanisms, all of which suffer from significant limitations such as single points of failure, credential loss, and vulnerability to phishing attacks. To address these challenges, this paper proposes BioLock, a Biosecure Single Sign-On (SSO) Cold Storage System integrated with Blockchain technology. The architecture utilizes multi-modal biometric authentication, specifically leveraging Electrocephalogram (EEG) signals with liveness detection, to establish a secure and non-transferable SSO identity. Biometric data privacy is ensured through cryptographic hashing and secure enclaves. Digital assets remain in true offline cold storage, accessible only via time-bound, policy-controlled hardware interfaces. Furthermore, a blockchain-based predicament recovery mechanism guarantees reliable access restoration during system failures, incapacitation, or security breaches.

The BioLock system demonstrates a robust and secure authentication framework by integrating EEG-based biometric identification with an STM32 microcontroller,cold storage architecture,and IoT connectivity.By storing sensitive biometric credentials offline and enabling controlled cloud and blockchain interaction,the system significantly reduces the risk of cyber threats while maintaining real-time monitoring and accessibility. Unlike traditional password-based methods, EEG biometrics utilize unique brain signal patterns that are extremely difficult to replicate. The inclusion of emergency unlock hardware and blockchain-based predicament recovery ensures reliability during critical situations, enhancing system resilience. Overall, the proposed solution offers a scalable, lowpower, and tamper-resistant security model highly suitable for next-generation biometric security systems.

[1]S. Nakamoto, “Bitcoin: A Peer-to-Peer Electronic Cash Sys tem,” 2008. [2]M. Swan, Blockchain: Blueprint for a New Economy, O’Reilly Media, 2015. [3]A. K. Jain, A. Ross, and S. Prabhakar, “An Introduction to Biometric Recognition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 4-20, 2004. [4]R. Rivest, A. Shamir, and L. Adleman, “A Method for Ob taining Digital Signatures and Public-Key Cryptosystems,” Communications of the ACM, vol. 21, no. 2, pp. 120-126, 1978. [5]H. Halpin and M. Piekarska, Digital Identity Management: Technologies and Systems, Artech House, 2010.

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