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Social behavioral biometric multimodal union to evade fake account creation in Facebook

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Abstract

In the present world scenario, people spend most of their time browsing on Social Networking Site (SNS) such as Facebook, Twitter, WhatsApp etc., thus increasing the distribution of sensitive personal information online which goes viral. Facebook fake account creation is one of hazards created by cybercriminals, that has to be overcome. The human brain has the most powerful decision-making capability based on social interaction, visual signs, contextual and spatio-temporal data. Thus, in this paper, an automated intelligent biometric system is designed based on the social behavioral traces available on Online Social Networks (OSNs) that depend on human thinking capability which increases the performance of the conventional biometric system, this system is applied in creation of unique Facebook account. Experimental results achieved from semi-real databases are Genuine Acceptance Rate (GAR) of 100% with 2% False Acceptance Rate (FAR) and Cumulative Recognition Rate (CRR) of 100% at Rank 5.

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

    Shalini P &  Shankaraiah

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  1. Shalini P
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  2. Shankaraiah
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P, S., Shankaraiah Social behavioral biometric multimodal union to evade fake account creation in Facebook. Multimed Tools Appl 81, 39715–39751 (2022). https://doi.org/10.1007/s11042-022-13104-7

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