Artificial intelligence control for trust‐based detection of attackers in 5G social networks
Davinder Kaur,
Suleyman Uslu,
Mimoza Durresi
et al.
Abstract:This study introduces a comprehensive framework designed for detecting and mitigating fake and potentially threatening user communities within 5G social networks. Leveraging geo‐location data, community trust dynamics, and AI‐driven community detection algorithms, this framework aims to pinpoint users posing potential harm. Including an artificial control model facilitates the selection of suitable community detection algorithms, coupled with a trust‐based strategy to effectively identify and filter potential … Show more
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