title: Signal waveform detection with statistical automaton for internet and web service streaming.
abstract: 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.
authors.affiliation: Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China.
authors.forename: Kuo-Kun
authors.identifier: 0000-0002-6258-7009
authors.initials: KK
authors.lastname: Tseng
authors.affiliation: Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China.
authors.forename: Yuzhu
authors.identifier: 0000-0003-3589-3884
authors.initials: Y
authors.lastname: Ji
authors.affiliation: Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China.
authors.forename: Yiming
authors.initials: Y
authors.lastname: Liu
authors.affiliation: Chunghwa Telecom Laboratories, Yangmei, Taoyuan 32601, Taiwan.
authors.forename: Nai-Lun
authors.initials: NL
authors.lastname: Huang
authors.affiliation: Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China.
authors.forename: Fufu
authors.initials: F
authors.lastname: Zeng
authors.affiliation: Bartlett School, University College London, London WC1E 6BT, UK.
authors.forename: Fang-Ying
authors.initials: FY
authors.lastname: Lin
mesh_terms: D000465:Algorithms; D020407:Internet; D057211:Webcasts as Topic