Statistical attack detection

  title={Statistical attack detection},
  author={Neil J. Hurley and Zunping Cheng and Mi Zhang},
It has been shown in recent years that effective profile injection or shilling attacks can be mounted on standard recommendation algorithms. These attacks consist of the insertion of bogus user profiles into the system database in order to manipulate the recommendation output, for example to promote or demote the predicted ratings for a particular product. A number of attack models have been proposed and some detection strategies to identify these attacks have been empirically evaluated. In… CONTINUE READING
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