Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)

Brainwave – Based Multilayer Encryption Using Time Dilation and Quantum Entanglement

Authors
V. Padmapriya1, *, G. P. Sachin1, S. Sivasury1, P. Yogesh1
1Department of Information Technology, Sri Manakula Vinayagar Engineering College, Puducherry, India
*Corresponding author. Email: priyasaisn@gmail.com
Corresponding Author
V. Padmapriya
Available Online 31 March 2026.
DOI
10.2991/978-94-6239-616-6_124How to use a DOI?
Keywords
EEG Signal Processing; Cognitive Encryption; Brain–Computer Interface; CNN–LSTM Model; Thought Pattern Recognition; Post-Quantum Cryptography; HQC; CRYSTALS-Dilithium; AES-256; Quantum Key Distribution; Time-Offset Key Management; Secure Communication
Abstract

Secure communication has become a critical requirement with the rapid advancement of digital systems and the increasing exposure of sensitive information to cyber threats. Conventional cryptographic mechanisms primarily rely on mathematical key generation techniques, which are vulnerable to key theft, replay attacks, and emerging quantum computing capabilities. To address these challenges, this paper proposes a novel cognitive–quantum secure communication framework that integrates electroencephalogram (EEG)–based thought recognition with deep learning and post-quantum cryptography. The proposed system utilizes EEG signals captured during controlled cognitive stimuli to generate unique, human-dependent cryptographic keys. A hybrid CNN–LSTM model is employed to learn and generalize thought-specific brainwave patterns across multiple users, enabling reliable cognitive classification. The generated cognitive features are transformed into dynamic cryptographic keys through quantization and genetic mutation, ensuring high sensitivity to both mental state and temporal variations. To achieve quantum resistance, the framework integrates AES-256 symmetric encryption with post-quantum cryptographic algorithms such as HQC for key encapsulation and CRYSTALS-Dilithium for authentication. Additionally, Quantum Key Distribution (QKD) is incorporated to enable secure key synchronization with time-offset validation, effectively mitigating replay and interception attacks. Experimental evaluation demonstrates high entropy, strong key sensitivity, and reliable cognitive verification accuracy, ensuring that decryption is possible only when the correct thought pattern is reproduced within the valid time window. The results confirm that combining human cognition with quantum-safe cryptography significantly enhances security, robustness, and future resilience, making the proposed system suitable for next-generation secure communication applications.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 March 2026
ISBN
978-94-6239-616-6
ISSN
1951-6851
DOI
10.2991/978-94-6239-616-6_124How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - V. Padmapriya
AU  - G. P. Sachin
AU  - S. Sivasury
AU  - P. Yogesh
PY  - 2026
DA  - 2026/03/31
TI  - Brainwave – Based Multilayer Encryption Using Time Dilation and Quantum Entanglement
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 1758
EP  - 1769
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_124
DO  - 10.2991/978-94-6239-616-6_124
ID  - Padmapriya2026
ER  -