Hybrid CNN and RNN-based shilling attack framework in social recommender networks

Hybrid CNN and RNN-based shilling attack framework in social recommender networks

INTRODUCTION: Recommender system is considered to be widely utilized in diversified domain for the purpose of effectively handling information overload. But, recommender systems are prone to vulnerabilities that are significantly exploited by malicious attacks. In particu...

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Bibliographic Details
Main Authors: Praveena Narayanan, Vivekanandan. K
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2022-03-01
Series:EAI Endorsed Transactions on Scalable Information Systems
Subjects:
recommender system
shilling attack
recurrent neural networks (rnn)
convolutional neural network (cnn)
interference immunity
Online Access:https://eudl.eu/pdf/10.4108/eai.2-11-2021.171754

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https://eudl.eu/pdf/10.4108/eai.2-11-2021.171754

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