DETECTING GROUP SHILLING ATTACKS IN ONLINE RECOMMENDER SYSTEMS BASED ON BISECTING K-MEANS CLUSTERING

• Author(s):

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

• Keywords:

  K-means, Suspicious Degrees, Clustering Algorithm

• 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

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Other Details

• Paper id:

  IJSARTV8I655209

• Published in:

  Volume: 8 Issue: 6 June 2022

• Publication Date:

  2022-06-15

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