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Attacking Recommender Systems: A Cost-Benefit Analysis
May/June 2007 (vol. 22 no. 3)
pp. 64-68
Neil J. Hurley, University College Dublin
Michael P. O'Mahony, University College Dublin
Guenole C.M. Silvestre, University College Dublin
Collaborative recommender systems are vulnerable to attacks that seek to manipulate recommendations made for target items. The authors examine such attacks from a cost perspective, focusing on the effect that attack size—in terms of the number of ratings inserted during an attack—has on attack success. They present a cost-benefit analysis that shows that attackers can realize profits, even when financial costs are imposed on the insertion of ratings.
Index Terms:
recommender systems, cost-benefit analysis
Citation:
Neil J. Hurley, Michael P. O'Mahony, Guenole C.M. Silvestre, "Attacking Recommender Systems: A Cost-Benefit Analysis," IEEE Intelligent Systems, vol. 22, no. 3, pp. 64-68, May-June 2007, doi:10.1109/MIS.2007.44
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