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Paper ID:10.55041/IJSREM.NCET005

SecureMind: A Multi-Layer Cybersecurity Framework for Future Brain–Computer Interfaces

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM.NCET005

Volume:

10 |

10 |

Oct 2026

Pages:

1-6

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.NCET005

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.

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Authors

AM

A.N. Maryam

Information Technology

Thassim Beevi Abdul Kader College for Women

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JRB

J.A. Riswana Barvin

Information Technology

Thassim Beevi Abdul Kader College for Women

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Abstract

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 (BCI) Cybersecurity Artificial Intelligence Authentication Privacy Protection Secure Communication Virtual Environment.

Cite This Article

A.N. Maryam, J.A. Riswana Barvin, "SecureMind: A Multi-Layer Cybersecurity Framework for Future Brain–Computer Interfaces," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-6, Oct 2026. https://doi.org/10.55041/ijsrem.NCET005

Full Article/Conclusion

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.

References

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.

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Publication Date

10/5/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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