@inproceedings{2e29b203fc034749839a640d92201dc4,
title = "Anomaly intrusion detection based on soft computing technique",
abstract = "Soft computing techniques exploit the given tolerance of imprecision, partial truth, and uncertainty for a particular problem. In the process of intrusion detection, imprecision and uncertainty problems also exist. In order to solve these problems, the paper introduces a novel scheme to process sequences of system calls for anomaly intrusion detection based on interval type-2 fuzzy logic. Hidden markov models and normal database of short sequences are utilized to model normal behaviors. Interval type-2 Fuzzy logic system is incorporated to solve the sharp boundary problem and decide whether a sequence is normal or not. Experimental results show that the proposed scheme can effectively detect intrusions and reduce false positive alarms.",
keywords = "anomaly intrusion detection, hidden markov model, interval type-2 fuzzy logic system, soft computing, system calls",
author = "Ge Zheng and Qinghua Cao and Chao Liu",
year = "2011",
doi = "10.1109/ICSSEM.2011.6081303",
language = "英语",
isbn = "9781457702471",
series = "2011 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2011",
pages = "301--304",
booktitle = "2011 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2011",
note = "2011 International Conference on System Science, Engineering Design and Manufacturing Informatization, ICSEM 2011 ; Conference date: 22-10-2011 Through 23-10-2011",
}