An efficient proactive artificial immune system based anomaly detection and prevention system
作者：
Highlights：
• Self-tuning and detector power is introduced to address improper coverage of NSA.
• Cooperation among agents makes correct identification of anomaly and lower FAR.
• EPAADPS improves anomaly detection and reduces FAR compared to state of art.
• Preventive mechanism identifies and contains novel and zero day attacks.
摘要
•Self-tuning and detector power is introduced to address improper coverage of NSA.•Cooperation among agents makes correct identification of anomaly and lower FAR.•EPAADPS improves anomaly detection and reduces FAR compared to state of art.•Preventive mechanism identifies and contains novel and zero day attacks.
论文关键词：Security,Anomaly,Self-tuning,Detector power,Agents,Biological Immune System,Artificial Immune System
论文评审过程：Received 18 November 2014, Revised 23 March 2016, Accepted 24 March 2016, Available online 30 March 2016, Version of Record 27 May 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.03.042
