EEG Biometrics outside the Laboratory: A Review of Advances and Challenges in Real-World Secure Authentication

DOI

10.2991/978-94-6239-610-4_23How to use a DOI?

Keywords

EEG biometrics; Brain prints; Secure authentication; Wearable EEG; Real-world environments; Cybersecurity; Machine learning; Privacy and ethics

Abstract

As more resources go virtually(online), we also need ways to prove that are safe, dependable and easy to use. Now-a-days normally passwords, cookies, PINs all the credentials are being hacked and stolen by the attackers not only this but biometrics such as fingerprints, face recognition which are being spoofed by the attackers and may misuse the personal data. To prevent from the attack’s researchers used EEG biometrics which is used to get the brain signals which are used to identify the person and this brain signals is also known as “brain prints” which is preventing from attacks and which are hard to spoof and it is more secure than all other biometrics. This paper look for EEG based authentication which are used for identification of individual and it is done in good and controlled laboratory setup so that we can get the brain signals accurately. And there are variations in brain signals depending on the person how they behave or how they are while collecting the brain signals such as at resting state we can get different brain prints and movements while recording or any emotions, stress so that it will produce different brain signals but these EEG systems which are easy to use and produce accurate results and work good in noisy conditions or uncontrolled environment. Overall, by these studies this paper suggests to build EEG authentication that are secure, reliable and accurate and are suitable for the real-world usage.

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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TY  - CONF
AU  - Bhaskarabhatla Akshay
AU  - Pasula Nethra
AU  - Satya Kusi
PY  - 2026
DA  - 2026/05/05
TI  - EEG Biometrics outside the Laboratory: A Review of Advances and Challenges in Real-World Secure Authentication
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 233
EP  - 240
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_23
DO  - 10.2991/978-94-6239-610-4_23
ID  - Akshay2026
ER  -