Title :
A new model of intelligent hybrid detection system
Author_Institution :
Dept. of Comput. Sci. & Technol., Dezhou Univ., Dezhou, China
Abstract :
Intrusion detection can be a dynamic security protection technology of detection internal and external network attacks the defense. However, the current detection system in a single are false alarm rate and the omission of the high rate of detection of low efficiency problem, In this paper, a new type of intelligent hybrid detection system is purposed after a comprehensive analysis of the advantages and disadvantages of various systems, and detailed descriptions of several key module design and implementation of algorithms, in which the model can be flexibly extended to meet the different network environment, enhance their detection performance and accuracy.
Keywords :
artificial immune systems; neural nets; security of data; intelligent hybrid detection system; intrusion detection; security protection technology; Algorithm design and analysis; Biological neural networks; Computer networks; Hybrid intelligent systems; Immune system; Information security; Intelligent networks; Intrusion detection; Real time systems; System testing; Adaptive genetic algorithm; Immunoassay System; Intelligence Analyst; Three-layer BP network;
Conference_Titel :
Networking and Digital Society (ICNDS), 2010 2nd International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5162-3
DOI :
10.1109/ICNDS.2010.5479212
