The RDAKF detector compares Kalman-filter predicted rating sums with observed sums, then flags extreme raters in abnormal periods; on MovieLens it achieves high recall for average attacks but weaker precision for bandwagon attacks.
Graph-based detection of shilling attacks in recommender systems ,
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A Novel Kalman Filter Based Shilling Attack Detection Algorithm
The RDAKF detector compares Kalman-filter predicted rating sums with observed sums, then flags extreme raters in abnormal periods; on MovieLens it achieves high recall for average attacks but weaker precision for bandwagon attacks.