Title :
An innovative IDS immune system model
Author :
Chen, Yingfeng ; Zhou, Lianying
Author_Institution :
Sch. of Comput. Sci. & Commun. Eng., JiangSu Univ., Zhenjiang
Abstract :
Through the research on the principle of biological immune system, an innovative intrusion detection immune system model is presented and analyzed in full. For enhancing the efficiency and flexibility of immune system, we divide gene bank into four independently genera gene banks, which are user genus, network genus, system genus and course genus, and introduce a genetic algorithm, ameliorated by a simulated annealing algorithm to generate and evolve each gene bank. This novel intrusion detection system model has the properties of distributed protection, flexibility, scalability, and diversity, robustness, adaptability, and memory and anomaly detection
Keywords :
genetic algorithms; security of data; simulated annealing; biological immune system; genetic algorithm; intrusion detection immune system; network based intrusion detection system; simulated annealing algorithm; Biological system modeling; Communication system security; Computer science; Computer worms; Data security; Detectors; Immune system; Intrusion detection; Memory management; Protection;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1401292
