A novel Kalman Filter based shilling attack detection algorithm

A novel Kalman Filter based shilling attack detection algorithm

Collaborative filtering has been widely used in recommendation systems to recommend items that users might like. However, collaborative filtering based recommendation systems are vulnerable to shilling attacks. Malicious users tend to increase or decrease the recommended frequency of target items by...

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Bibliographic Details
Main Authors: Xin Liu, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling
Format: Article
Language:English
Published: AIMS Press 2020-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
collaborative filtering
recommendation system
shilling attack
attack detection
kalman filter
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020081?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2020081?viewType=HTML

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