A New Solution to the Brain State Permanency for Brain-Based Authentication Methods

Yousefi, Fares and Kolivand, Hoshang (2021) A New Solution to the Brain State Permanency for Brain-Based Authentication Methods. In: 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA), 06-07 April 2021, Riyadh, Saudi Arabia.

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Abstract

Nowadays, to access any digital device we use authentication techniques, which is a critical technology in terms of security. Present biometric authentications such as
fingerprints or face recognition are the most used methods in our digitalized world, which are impressively advantageous in terms of security. However, there are still some flaws in using these methods like not being useful for physical disabilities, environment usage matters, and most importantly the possibility of replicating them with some new technologies because of their visibility. Brain signal is another human biometric that could cover the issues of other types in terms of security and visibility. There are different perspectives about the EEG authentication challenges, including ease of use, privacy, and confirmation necessities like comprehensiveness, uniqueness, collectability, and most importantly permanency
which is a big challenge for EEG-based authentications
specifically. In this paper, we proposed a method using the deep breath strategy to use brain signals for authentication purposes regardless of brain situation. The result shows that our proposal accomplishment can alter the entire cycle of brain-based authentication when compared with other techniques and EEGbased authentication methods according to the parameter of permanency of the technique in many different brain states.

Item Type:	Conference or Workshop Item (Speech)
Keywords:	BCI; brain-computer interface; EEG signal; biometric authentication; brain state permanency
Faculty / Department:	Faculty of Human and Digital Sciences > Mathematics and Computer Science
Depositing User:	Fares Yousefi
Date Deposited:	16 Apr 2024 13:27
Last Modified:	16 Apr 2024 13:27
URI:	https://hira.hope.ac.uk/id/eprint/4189

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