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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM.NCET005
Volume:
10 |
10 |
Oct 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Information Technology
Thassim Beevi Abdul Kader College for Women
Information Technology
Thassim Beevi Abdul Kader College for Women
Brain–Computer Interfaces (BCIs) are emerging technologies that enable direct communication between the human brain and digital systems. Future BCI applications may support immersive virtual environments for education, healthcare, communication, entertainment, and smart industries. At the same time, these systems may face cybersecurity threats, including unauthorized access, interception of brain signals, identity theft, malware, and privacy leakage. This paper proposes SecureMind, a conceptual multi-layer cybersecurity framework for protecting future BCI systems. The framework integrates Multi-Factor Authentication (MFA), secure communication, Artificial Intelligence (AI)-based threat detection, privacy protection, and emergency isolation. The proposed architecture is intended to provide coordinated protection across authentication, communication, monitoring, privacy, and incident-response stages. Because SecureMind is conceptual, its effectiveness remains to be validated through simulation and practical experiments using BCI devices.
KEYWORDS
Brain–Computer Interface technology has the potential to transform human–computer interaction by enabling direct communication between the human brain and digital systems. However, the protection of brain-related information and secure communication is an important challenge for future BCI environments. This paper presented SecureMind, a conceptual multi-layer cybersecurity framework designed to organize protection mechanisms for future BCI systems. The framework integrates Multi-Factor Authentication, Secure Communication, AI-Based Threat Detection, Privacy Protection, and Emergency Isolation within a unified architecture. The proposed workflow coordinates these layers from user authentication through secure communication and monitoring to emergency response. SecureMind is currently conceptual and does not claim experimentally demonstrated performance. Its main contribution at this stage is the integration of the identified security functions into a single BCI-oriented architecture. Future simulation and practical experimentation are required to quantify its effectiveness, overhead, and suitability for real BCI applications.
1. Wolpaw, J. R., & Wolpaw, E. W. Brain–Computer Interfaces: Principles and Practice. Oxford University Press. 2. IEEE Brain Initiative. Brain–Computer Interface Research. 3. National Institute of Standards and Technology (NIST). Cybersecurity Framework (CSF) 2.0. 4. Journal of Neural Engineering. Research articles on Brain–Computer Interfaces. 5. IEEE Xplore Digital Library. Publications on Artificial Intelligence, Cybersecurity, and Brain–Computer Interfaces.
Publication Date
10/5/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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