Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems

no code implementations • 18 Aug 2019 • Wanqiao Yuan, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling

First of all, based on the characteristics of shilling attack quickness (Attackers inject a large number of fake profiles in a short period in order to save costs), we use dynamic time interval method to divide the rating history of item into multiple time windows.

Anomaly Detection Recommendation Systems

A Novel Kalman Filter Based Shilling Attack Detection Algorithm

no code implementations • 18 Aug 2019 • Xin Liu, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling

Collaborative filtering has been widely used in recommendation systems to recommend items that users might like.

Collaborative Filtering Recommendation Systems