Integrated intrusion detection model based on rough set and artificial immune

Autor: Ling ZHANG, Zhong-ying BAI, Shou-shan LUO, Kang XIE, Guan-ning CUI, Mao-hua SUN
Jazyk: čínština
Rok vydání: 2013
Předmět:
Zdroj: Tongxin xuebao, Vol 34, Pp 166-176 (2013)
Druh dokumentu: article
ISSN: 1000-436X
DOI: 10.3969/j.issn.1000-436x.2013.09.020
Popis: According to the problems of intrusion detection,an integrated intrusion detection model based on rough set and artificial immune (RSAI-IID) was proposed by using rough set and integrating misuse detection and anomaly detection.The rough set method was used to achieve the vaccine which was injected in the model,to get better vaccine,and to optimum the performances of detection; misuse detection was used to get off the known intrusions; anomaly detection was used to detect the novel intrusions.RSAI-IID model was validated on KDD 99 dataset.The experimental results show its feasibility and effectiveness.
Databáze: Directory of Open Access Journals