Detecting Shilling Attacks Using Hybrid Deep Learning Models

Detecting Shilling Attacks Using Hybrid Deep Learning Models

Recommendation systems play a significant role in alleviating information overload in the digital world. They provide suggestions to users based on past symmetric activities or behaviors. Being heavily dependent on users’ behavior, they tend to be vulnerable to shilling attacks. Therefore, protectin...

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Bibliographic Details
Main Authors: Mahsa Ebrahimian, Rasha Kashef
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Symmetry
Subjects:
shilling attacks
recommendation systems
convolutional neural networks
recurrent neural networks
Online Access:https://www.mdpi.com/2073-8994/12/11/1805

Internet

https://www.mdpi.com/2073-8994/12/11/1805

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