DocumentCode :
2456129
Title :
Survey on HMM based anomaly intrusion detection using system calls
Author :
Wang, Panhong ; Shi, Liang ; Beizhan Wang ; Wu, Yuanqin ; Liu, Yangbin
Author_Institution :
Software Sch., Xiamen Univ., Xiamen, China
fYear :
2010
fDate :
24-27 Aug. 2010
Firstpage :
102
Lastpage :
105
Abstract :
Intrusion detection based on System calls is a very important domain of anomaly detection, this paper firstly introduces the basic idea of Hidden Markov Model (HMM) based intrusion detection, and then expounds its current development with comparisons about the merits and shortcomings to the current mainstream technologies, by the way, presenting some further discussions upon the future direction of the HMM-based intrusion detection.
Keywords :
hidden Markov models; security of data; HMM based anomaly intrusion detection; hidden Markov model; system calls; Artificial neural networks; Classification algorithms; Databases; Hidden Markov models; Intrusion detection; Mathematical model; Training; HMM; System calls; anomaly detection; intrusion detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
Type :
conf
DOI :
10.1109/ICCSE.2010.5593839
Filename :
5593839
Link To Document :
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