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An Intelligent Warning System Based on Dynamic Adaptive Network Security

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1 Author(s)
Qu Jubao ; Dept. of Comput. Sci. & Eng., Wuyi Univ., Wuyishan, China

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.

Published in:

Software Engineering, 2009. WCSE '09. WRI World Congress on  (Volume:1 )

Date of Conference:

19-21 May 2009