Presentation	2019-11-08 Malicious Domain Names Detection Based on TF-IDE and Variational Autoencoder: Classification with Quantum-enhanced Support Vector Machine Yuwei Sun, Ng S. T. Chong, Hideya Ochiai,
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Abstract(in English)
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Keyword(in English)
Paper #	KBSE2019-26,SC2019-23
Date of Issue	2019-11-01 (KBSE, SC)

Conference Information
Committee	KBSE / SC
Conference Date	2019/11/8(2days)
Place (in Japanese)	(See Japanese page)
Place (in English)	Shinshu University
Topics (in Japanese)	(See Japanese page)
Topics (in English)
Chair	Fumihiro Kumeno(Nippon Inst. of Tech.) / Masahide Nakamura(Kobe Univ.)
Vice Chair	Hiroyuki Nakagawa(Osaka Univ.) / Shinji Kikuchi(NIMS) / Yoji Yamato(NTT)
Secretary	Hiroyuki Nakagawa(Ibaraki Univ.) / Shinji Kikuchi(Tsurumi Univ.) / Yoji Yamato(Tokyo Univ. of Tech.)
Assistant	Nahomi Kikuchi(OKi) / Tomoko Kaneko(NII)

Paper Information
Registration To	Technical Committee on Knowledge-Based Software Engineering / Technical Committee on Service Computing
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Malicious Domain Names Detection Based on TF-IDE and Variational Autoencoder: Classification with Quantum-enhanced Support Vector Machine
Sub Title (in English)
Keyword(1)
1st Author's Name	Yuwei Sun
1st Author's Affiliation	The University of Tokyo(UTokyo)
2nd Author's Name	Ng S. T. Chong
2nd Author's Affiliation	United Nations University(UNU)
3rd Author's Name	Hideya Ochiai
3rd Author's Affiliation	The University of Tokyo(UTokyo)
Date	2019-11-08
Paper #	KBSE2019-26,SC2019-23
Volume (vol)	vol.119
Number (no)	KBSE-274,SC-275
Page	pp.pp.19-23(KBSE), pp.19-23(SC),
#Pages	5
Date of Issue	2019-11-01 (KBSE, SC)