Sequential pattern discovery for intrusion detection system

Min Feng Wang; Yen Ching Wu; Meng Feng Tsai; Cheng Hsien Tang

doi:10.1109/ISCIT.2010.5664887

Sequential pattern discovery for intrusion detection system

Min Feng Wang, Yen Ching Wu, Meng Feng Tsai, Cheng Hsien Tang

Department of Space Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Intrusion Detection System (IDS) is the key technology to ensure the security of dynamic systems. We employ a sequential pattern mining approach to discover significant system call sequences to prevent malicious attacks. To reduce the computing time of generating meaningful rules, we design a weighted suffix tree structure to detect intrusive events on the fly. The experimental results show our method can substantially enhance the accuracy and efficiency of IDS.

Original language	English
Title of host publication	ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies
Pages	470-474
Number of pages	5
DOIs	https://doi.org/10.1109/ISCIT.2010.5664887
State	Published - 2010
Event	2010 10th International Symposium on Communications and Information Technologies, ISCIT 2010 - Tokyo, Japan Duration: 26 Oct 2010 → 29 Oct 2010

Publication series

Name	ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies

Conference

Conference	2010 10th International Symposium on Communications and Information Technologies, ISCIT 2010
Country/Territory	Japan
City	Tokyo
Period	26/10/10 → 29/10/10

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10.1109/ISCIT.2010.5664887

Cite this

Wang, M. F., Wu, Y. C., Tsai, M. F., & Tang, C. H. (2010). Sequential pattern discovery for intrusion detection system. In ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies (pp. 470-474). Article 5664887 (ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies). https://doi.org/10.1109/ISCIT.2010.5664887

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title = "Sequential pattern discovery for intrusion detection system",

abstract = "Intrusion Detection System (IDS) is the key technology to ensure the security of dynamic systems. We employ a sequential pattern mining approach to discover significant system call sequences to prevent malicious attacks. To reduce the computing time of generating meaningful rules, we design a weighted suffix tree structure to detect intrusive events on the fly. The experimental results show our method can substantially enhance the accuracy and efficiency of IDS.",

author = "Wang, {Min Feng} and Wu, {Yen Ching} and Tsai, {Meng Feng} and Tang, {Cheng Hsien}",

year = "2010",

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isbn = "9781424470105",

series = "ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies",

pages = "470--474",

booktitle = "ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies",

note = "2010 10th International Symposium on Communications and Information Technologies, ISCIT 2010 ; Conference date: 26-10-2010 Through 29-10-2010",

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Wang, MF, Wu, YC, Tsai, MF & Tang, CH 2010, Sequential pattern discovery for intrusion detection system. in ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies., 5664887, ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies, pp. 470-474, 2010 10th International Symposium on Communications and Information Technologies, ISCIT 2010, Tokyo, Japan, 26/10/10. https://doi.org/10.1109/ISCIT.2010.5664887

Sequential pattern discovery for intrusion detection system. / Wang, Min Feng; Wu, Yen Ching; Tsai, Meng Feng et al.
ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies. 2010. p. 470-474 5664887 (ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Wu, Yen Ching

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AB - Intrusion Detection System (IDS) is the key technology to ensure the security of dynamic systems. We employ a sequential pattern mining approach to discover significant system call sequences to prevent malicious attacks. To reduce the computing time of generating meaningful rules, we design a weighted suffix tree structure to detect intrusive events on the fly. The experimental results show our method can substantially enhance the accuracy and efficiency of IDS.

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DO - 10.1109/ISCIT.2010.5664887

M3 - 會議論文篇章

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SN - 9781424470105

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T2 - 2010 10th International Symposium on Communications and Information Technologies, ISCIT 2010

Y2 - 26 October 2010 through 29 October 2010

ER -

Sequential pattern discovery for intrusion detection system

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