Presentation 2021-01-23
Consideration of evaluation datasets for DNS tunnel detection research
Tetsuya Asakura, Takeo Tatsumi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this research, we considered of evaluation datasets for dns tunnel detection research. In this field, there are not standard evaluation datasets, and it is difficult unified view of evaluation. Especially, unique datasets have been used for anomalous data in each study. Therefore, we reviewed abnormal datasets in Literatures, and considered of evaluation datasets. Especially, we considered of known and unknown best evaluation datasets for DNS tunnel detection research by domain name in DNS query. And, we propose our considered tool.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) DNS Tunnel / DNS Tunneling / Domain Name / Machine learning / Unsupervised learning
Paper # KBSE2020-32
Date of Issue 2021-01-16 (KBSE)

Conference Information
Committee KBSE
Conference Date 2021/1/23(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General, Student
Chair Hiroyuki Nakagawa(Osaka Univ.)
Vice Chair Takuya Saruwatari(NTT Data)
Secretary Takuya Saruwatari(OKI)
Assistant Shinpei Ogata(Shinshu Univ.) / Erina Nakihara(Doshisha Univ,)

Paper Information
Registration To Technical Committee on Knowledge-Based Software Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Consideration of evaluation datasets for DNS tunnel detection research
Sub Title (in English)
Keyword(1) DNS Tunnel
Keyword(2) DNS Tunneling
Keyword(3) Domain Name
Keyword(4) Machine learning
Keyword(5) Unsupervised learning
1st Author's Name Tetsuya Asakura
1st Author's Affiliation The Open University of Japan(OUJ)
2nd Author's Name Takeo Tatsumi
2nd Author's Affiliation The Open University of Japan(OUJ)
Date 2021-01-23
Paper # KBSE2020-32
Volume (vol) vol.120
Number (no) KBSE-334
Page pp.pp.19-24(KBSE),
#Pages 6
Date of Issue 2021-01-16 (KBSE)