The rule search method for association signatures on NetDPI

Ming Yi Liao, Tsung Sheng Cheng, Chu-Sing Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

More and more network services appears on the Cloud. Mobile appliances to access network services. To keep the network services in high security is an important issue. Deep Packet Inspection system is for classifying the network traffic, network traffic statistics, and network security management. In the previous works, NetDPI is a DPI system based on Netfilter in Linux kernel. In this paper, we propose a rule search algorithm for the NetDPI system, and we show that the proposed method has better performance in rule search in the experiment result.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014
EditorsWilliam Cheng-Chung Chu, Stephen Jenn-Hwa Yang, Han-Chieh Chao
PublisherIOS Press
Pages1426-1435
Number of pages10
ISBN (Electronic)9781614994831
DOIs
Publication statusPublished - 2015 Jan 1
EventInternational Computer Symposium, ICS 2014 - Taichung, Taiwan
Duration: 2014 Dec 122014 Dec 14

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume274
ISSN (Print)0922-6389

Other

OtherInternational Computer Symposium, ICS 2014
CountryTaiwan
CityTaichung
Period14-12-1214-12-14

Fingerprint

Network security
Inspection
Statistics
Experiments
Linux

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Liao, M. Y., Cheng, T. S., & Yang, C-S. (2015). The rule search method for association signatures on NetDPI. In W. C-C. Chu, S. J-H. Yang, & H-C. Chao (Eds.), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014 (pp. 1426-1435). (Frontiers in Artificial Intelligence and Applications; Vol. 274). IOS Press. https://doi.org/10.3233/978-1-61499-484-8-1426
Liao, Ming Yi ; Cheng, Tsung Sheng ; Yang, Chu-Sing. / The rule search method for association signatures on NetDPI. Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. editor / William Cheng-Chung Chu ; Stephen Jenn-Hwa Yang ; Han-Chieh Chao. IOS Press, 2015. pp. 1426-1435 (Frontiers in Artificial Intelligence and Applications).
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Liao, MY, Cheng, TS & Yang, C-S 2015, The rule search method for association signatures on NetDPI. in WC-C Chu, SJ-H Yang & H-C Chao (eds), Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. Frontiers in Artificial Intelligence and Applications, vol. 274, IOS Press, pp. 1426-1435, International Computer Symposium, ICS 2014, Taichung, Taiwan, 14-12-12. https://doi.org/10.3233/978-1-61499-484-8-1426

The rule search method for association signatures on NetDPI. / Liao, Ming Yi; Cheng, Tsung Sheng; Yang, Chu-Sing.

Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. ed. / William Cheng-Chung Chu; Stephen Jenn-Hwa Yang; Han-Chieh Chao. IOS Press, 2015. p. 1426-1435 (Frontiers in Artificial Intelligence and Applications; Vol. 274).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - More and more network services appears on the Cloud. Mobile appliances to access network services. To keep the network services in high security is an important issue. Deep Packet Inspection system is for classifying the network traffic, network traffic statistics, and network security management. In the previous works, NetDPI is a DPI system based on Netfilter in Linux kernel. In this paper, we propose a rule search algorithm for the NetDPI system, and we show that the proposed method has better performance in rule search in the experiment result.

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Liao MY, Cheng TS, Yang C-S. The rule search method for association signatures on NetDPI. In Chu WC-C, Yang SJ-H, Chao H-C, editors, Intelligent Systems and Applications - Proceedings of the International Computer Symposium, ICS 2014. IOS Press. 2015. p. 1426-1435. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-484-8-1426