Presentation 2016-10-14
Study on Method of Web Service Identification with Ethernet frame length by Deep Learning
Daichi Sugita, Yoshihiro Ito,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a method of Web service identification with Ethernet frame length by Deep Learning; it confirms effectiveness of the proposed method by experiment. Since the method uses only frame length, it can be applied to encrypted traffic. The proposed method can identify not only a single Web service but also multiple Web services simultaneously. This paper does experiments for five actual Web services, and confirms the effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Frame length / Traffic identification / Deep learning / Web service
Paper # IA2016-23
Date of Issue 2016-10-07 (IA)

Conference Information
Committee IA
Conference Date 2016/10/14(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Univ. of Tokyo, Koshiba Hall
Topics (in Japanese) (See Japanese page)
Topics (in English) Network R&D Testbed Operation and Utilization, etc. (cosponsored by ADVNET)
Chair Ken-ichi Yoshida(Univ. of Tsukuba)
Vice Chair Hiroyuki Osaki(Kwansei Gakuin Univ.) / Masahiro Jibiki(NICT) / Tomoki Yoshihisa(Osaka Univ.)
Secretary Hiroyuki Osaki(Tokyo Inst. of Tech.) / Masahiro Jibiki(Ritsumeikan Univ.) / Tomoki Yoshihisa
Assistant Yusuke Sakumoto(Tokyo Metropolitan Univ.) / Yuichiro Hei(KDDI R&D Labs.) / Toshiki Watanabe(NEC)

Paper Information
Registration To Technical Committee on Internet Architecture
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Study on Method of Web Service Identification with Ethernet frame length by Deep Learning
Sub Title (in English)
Keyword(1) Frame length
Keyword(2) Traffic identification
Keyword(3) Deep learning
Keyword(4) Web service
1st Author's Name Daichi Sugita
1st Author's Affiliation Nagoya Institute of Technology(NIT)
2nd Author's Name Yoshihiro Ito
2nd Author's Affiliation Nagoya Institute of Technology(NIT)
Date 2016-10-14
Paper # IA2016-23
Volume (vol) vol.116
Number (no) IA-247
Page pp.pp.7-12(IA),
#Pages 6
Date of Issue 2016-10-07 (IA)