VIDPSO: Victim item deletion based PSO inspired sensitive pattern hiding algorithm for dense datasets

作者：

Highlights：

• An improved PSO inspired item deletion based pattern hiding algorithm is proposed.

• The proposed approach preserves good data privacy with less data loss.

• Experiments have been performed over benchmark real & synthetic datasets.

• The proposed technique outperforms the existing evolutionary algorithms.

摘要

•An improved PSO inspired item deletion based pattern hiding algorithm is proposed.•The proposed approach preserves good data privacy with less data loss.•Experiments have been performed over benchmark real & synthetic datasets.•The proposed technique outperforms the existing evolutionary algorithms.

论文关键词：Privacy preserving data mining (PPDM),Sensitive pattern,Evolutionary algorithm,Particle swarm optimization,Knowledge hiding technique

论文评审过程：Received 14 November 2019, Revised 9 March 2020, Accepted 22 March 2020, Available online 30 April 2020, Version of Record 30 April 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102255