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Related Experiment Videos

Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis.

Wei Zhou1, Junhao Wen2, Yun Sing Koh3

  • 1College of Computer Science, Chongqing University, Chongqing, China.

Plos One
|July 30, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces statistical metrics to detect shilling attacks in recommender systems, focusing on group behavior. The proposed RD-TIA model effectively identifies malicious profiles, enhancing recommendation system security.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Data Mining

Background:

  • Recommender systems are vulnerable to shilling attacks, where biased ratings manipulate recommendations.
  • Existing methods often overlook group characteristics of attackers and are model-specific.

Purpose of the Study:

  • To develop statistical metrics for detecting shilling attacks by analyzing rating patterns and group characteristics.
  • To propose a model-independent detection structure for identifying malicious profiles in recommender systems.

Main Methods:

  • Utilized Rating Deviation from Mean Agreement (RDMA) and Degree of Similarity with Top Neighbors (DegSim) metrics.
  • Introduced a novel metric, DegSim', to address complex attack models.
  • Developed and evaluated the RD-TIA detection structure based on statistical analysis and target item analysis.

Main Results:

  • The proposed RD-TIA model demonstrates effectiveness in detecting shilling attacks.
  • The study highlights the importance of analyzing group characteristics in attack profiles.
  • Statistical metrics successfully differentiate between genuine and malicious rating patterns.

Conclusions:

  • The RD-TIA model offers a robust statistical approach for detecting shilling attacks in recommender systems.
  • Analyzing group characteristics alongside individual rating patterns improves attack detection.
  • The proposed metrics and model contribute to more secure and reliable recommender systems.