Issue No. 03 - May/June (2007 vol. 22)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2007.44
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.
recommender systems, cost-benefit analysis
G. C. Silvestre, M. P. O'Mahony and N. J. Hurley, "Attacking Recommender Systems: A Cost-Benefit Analysis," in IEEE Intelligent Systems, vol. 22, no. , pp. 64-68, 2007.