An Intelligent Warning System Based on Dynamic Adaptive Network Security

Author

Jubao, Qu

Author_Institution

Dept. of Comput. Sci. & Eng., Wuyi Univ., Wuyishan, China

Volume

1

fYear

2009

Firstpage

334

Lastpage

337

Abstract

This paper first analyzes the traditional PPDR security model. Then, it puts forward a theory to strengthen network security by building an intelligent warning system, namely, RPRDRE. It is a self-learning and self-evolving system with intelligent warning. The system is active, self-adaptive and survivable whenever attacked by hackers. Design of the system embodies the new concepts in network security, such as online detection, intelligent warning, timely recovery, self-learning and autonomous improvement.

Keywords

alarm systems; learning (artificial intelligence); security of data; dynamic adaptive network security; hacker; intelligent warning system; online detection; policy-protection-detection-response; reinforce-detection-warning; response-recovery; risk analysis; self-evolving system; self-learning system; system learning evolutionary; traditional PPDR security model; Adaptive systems; Alarm systems; Communication system security; Computer security; Data security; Information security; Intelligent networks; Intelligent systems; Protection; Protocols; RPRDRE; intelligent; network; security; warning;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering, 2009. WCSE '09. WRI World Congress on

Print_ISBN

978-0-7695-3570-8

Type

conf

DOI

10.1109/WCSE.2009.83

Filename

5319121