Privacy preserving rule-based classifier using modified artificial bee colony algorithm
作者：
Highlights：
• Privacy preserving classification is a substantial topic.
• Differential privacy is a robust privacy guarantee and perturbs data.
• Artificial bee colony discovers classification rules from private data.
• Using input perturbation is more suitable for artificial bee colony classifier.
• Our classifier is more accurate than the tested classifiers over the private data.
摘要
•Privacy preserving classification is a substantial topic.•Differential privacy is a robust privacy guarantee and perturbs data.•Artificial bee colony discovers classification rules from private data.•Using input perturbation is more suitable for artificial bee colony classifier.•Our classifier is more accurate than the tested classifiers over the private data.
论文关键词：Artificial bee colony,Differential privacy,Input perturbation,Privacy preserving classification
论文评审过程：Received 22 June 2020, Revised 11 June 2021, Accepted 11 June 2021, Available online 18 June 2021, Version of Record 25 June 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115437
