Signal Waveform Detection with Statistical Automaton for Internet and Web Service Streaming
Joint Authors
Tseng, Kuo-Kun
Ji, Yuzhu
Liu, Yiming
Huang, Nai-Lun
Zeng, Fufu
Lin, Fang-Ying
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-16
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
In recent years, many approaches have been suggested for Internet and web streaming detection.
In this paper, we propose an approach to signal waveform detection for Internet and web streaming, with novel statistical automatons.
The system records network connections over a period of time to form a signal waveform and compute suspicious characteristics of the waveform.
Network streaming according to these selected waveform features by our newly designed Aho-Corasick (AC) automatons can be classified.
We developed two versions, that is, basic AC and advanced AC-histogram waveform automata, and conducted comprehensive experimentation.
The results confirm that our approach is feasible and suitable for deployment.
American Psychological Association (APA)
Tseng, Kuo-Kun& Ji, Yuzhu& Liu, Yiming& Huang, Nai-Lun& Zeng, Fufu& Lin, Fang-Ying. 2014. Signal Waveform Detection with Statistical Automaton for Internet and Web Service Streaming. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-24.
https://search.emarefa.net/detail/BIM-1050486
Modern Language Association (MLA)
Tseng, Kuo-Kun…[et al.]. Signal Waveform Detection with Statistical Automaton for Internet and Web Service Streaming. The Scientific World Journal No. 2014 (2014), pp.1-24.
https://search.emarefa.net/detail/BIM-1050486
American Medical Association (AMA)
Tseng, Kuo-Kun& Ji, Yuzhu& Liu, Yiming& Huang, Nai-Lun& Zeng, Fufu& Lin, Fang-Ying. Signal Waveform Detection with Statistical Automaton for Internet and Web Service Streaming. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-24.
https://search.emarefa.net/detail/BIM-1050486
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050486