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