2024
DOI: 10.7717/peerj-cs.2137
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A novel clustered-based detection method for shilling attack in private environments

Ihsan Gunes

Abstract: The topic of privacy-preserving collaborative filtering is gaining more and more attention. Nevertheless, privacy-preserving collaborative filtering techniques are vulnerable to shilling or profile injection assaults. Hence, it is crucial to identify counterfeit profiles in order to achieve total success. Various techniques have been devised to identify and prevent intrusion patterns from infiltrating the system. Nevertheless, these strategies are specifically designed for collaborative filtering algorithms th… Show more

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