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Volume 12 Issue 07
July 2026
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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