Robustness analysis of arbitrarily distributed data-based recommendation methods

作者：

Highlights：

• Designing shilling attacks against private distributed CF schemes.

• Analyzing robustness of existing private distributed CF schemes.

• Discussing why existing detection methods cannot be used in private distributed CF.

• A new research direction is figured out.

摘要

•Designing shilling attacks against private distributed CF schemes.•Analyzing robustness of existing private distributed CF schemes.•Discussing why existing detection methods cannot be used in private distributed CF.•A new research direction is figured out.

论文关键词：Robustness,Detection,Shilling,Distributed data,Arbitrarily,Privacy,Collaborative filtering

论文评审过程：Received 2 February 2015, Revised 8 September 2015, Accepted 10 September 2015, Available online 26 September 2015, Version of Record 10 November 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.09.012