Volume 8, Issue 6 (June 2022)

Detecting Group Shilling Attacks In Online Recommender Systems Based On Bisecting K-means Clustering

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Author(s)

Dr. P. D. R. Vijayakumar Jamal veve.M Umar farook. P Ashok kumar. A | Jeeva. M

Abstract

Existing Shilling Attack Detection Approaches Focus Mainly On Identifying Individual Attackers In Online Recommender Systems And Rarely Address The Detection Of Group Shilling Attacks In Which A Group Of Attackers Colludes To Bias The Output Of An Online

Keywords

K-means Suspicious Degrees Clustering Algorithm

Paper ID

IJSARTV8I655209

Publication Date

June 15, 2022

Research Area

Computer Science Engineering

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