Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks

作者：

Highlights：

• Primary multi-criteria recommendation systems are highly vulnerable to manipulations.

• Extension methods of shilling attacks against the multi-criteria domain are proposed.

• A novel attack scheme is proposed for exploiting multi-criteria recommender systems.

• Robustness analysis of multi-criteria recommendation algorithms is performed.

摘要

•Primary multi-criteria recommendation systems are highly vulnerable to manipulations.•Extension methods of shilling attacks against the multi-criteria domain are proposed.•A novel attack scheme is proposed for exploiting multi-criteria recommender systems.•Robustness analysis of multi-criteria recommendation algorithms is performed.

论文关键词：Collaborative filtering,Multi-criteria,Shilling attack,Profile injection,Robustness analysis,Mode attack

论文评审过程：Received 2 February 2018, Revised 31 July 2018, Accepted 1 August 2018, Available online 3 August 2018, Version of Record 22 August 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.08.001