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Multimodal biometric decision fusion security technique to evade immoral social networking sites for minors

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Abstract

Online Social Networks (OSNs) are quickly becoming the most popular platform, with practically everyone using them on a daily basis. Recent advancements in neosocial networking sites have sparked interest among people, particularly young people. In this paper, a unique method that provides access control for minors is proposed. The biometric features collected from users are verified using the individual’s Unique Identity (UID). To address this issue, numerous multimodal authentication systems have been devised that partially solve the problem, however challenges in classifier selection and decision level fusion in a multimodal biometric system are still being investigated. Hence, the Multimodal Biometric Authentication System Utilizing Game Theoretic Social Network Analysis (GTSNA) is designed as a one-of-a-kind technique for identifying minors by verifying their age using the UID repository. As a result, two systems are built: one to authenticate a user with a Genuine Acceptance Rate (GAR) of 100% and a False Acceptance Rate (FAR) of 1%, and the other to govern minors accessing immoral information on the web using this newly designed Multimodal system.

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  1. Department of Electronics and Communication Engineering, Sri Jayachamarajendra College of Engineering, JSS Science and Technology University, Mysore, India

    Shalini P  &  Shankaraiah

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Shalini P, Shankaraiah Multimodal biometric decision fusion security technique to evade immoral social networking sites for minors. Appl Intell 53, 2751–2776 (2023). https://doi.org/10.1007/s10489-022-03538-9

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