Optimizing security and quality of service in a Real-time database system using Multi-objective genetic algorithm

作者：

Highlights：

• An evaluation model is designed to describe the relationship of security and QoS.

• A classical NSGA-II algorithm is revised to optimize the multi-objective model.

• A novel crossover approach performs information exchange based on each role.

• The found solutions simultaneously meet the requirements of security and QoS.

摘要

•An evaluation model is designed to describe the relationship of security and QoS.•A classical NSGA-II algorithm is revised to optimize the multi-objective model.•A novel crossover approach performs information exchange based on each role.•The found solutions simultaneously meet the requirements of security and QoS.

论文关键词：Multi-objective optimization,Genetic algorithm,Network security,QoS

论文评审过程：Received 3 June 2015, Revised 16 July 2016, Accepted 17 July 2016, Available online 18 July 2016, Version of Record 25 July 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.07.023