Title :
Intrusion Detection System Platform Based on Light-Weighted Hybrid Artificial Immune Algorithms
Author :
Jinyin Chen ; Dongyong Yang
Author_Institution :
Software Coll., Zhejiang Univ. of Technol., Hangzhou, China
Abstract :
Detectors generation algorithm plays an important role in IDS. In this paper, an IDS platform based on light-weighted HIDS is bought up. Firstly raw data is extracted by PCA for effective detection. And then detector generation algorithms based on NSA, SCSA, DCSA are implemented and simulated on PCA processed data. Tests have proved their efficiency. Hybrid intrusion detection is designed for real time detection and high detection rate. Finally, a comprehensive IDS platform is designed combining all above algorithms to compare performances and further study.
Keywords :
principal component analysis; security of data; PCA processed data; intrusion detection system platform; light-weighted hybrid artificial immune algorithms; Cloning; Educational institutions; Entropy; Feature extraction; Intrusion detection; Monitoring; Performance evaluation; Principal component analysis; Software algorithms; Testing; Artificial Immune algorithm; DCSA; GA; Hybrid; PCA; SCSA;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.509
