Presentation 2021-03-01
Construction of Vulnerability Evaluation System with Machine Learning Methods
Ryu Watanabe, Takashi Matsunaka, Ayumu Kubota, Junpei Urakawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Recently, the cyberattacks aimed at software vulnerabilities are more popular and powerful. Therefore, various incidents caused by infection of the computer viruses or malwares, threats by ransomwares, invasion to computer systems, and information thefts become serious problem. In addition, the number of vulnerabilities is increased. On the other hand, total cost for security measure on enterprises is not increased. Such enterprises usually do not have dedicated sections for security issues. In order to cope with this situation, we have considered a support system for vulnerability treatment on small and medium sized enterprises. In this paper, we report the vulnerability evaluation system with machine learning method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) vulnerability response / security risk / machine learning
Paper # ICSS2020-29
Date of Issue 2021-02-22 (ICSS)

Conference Information
Committee ICSS / IPSJ-SPT
Conference Date 2021/3/1(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Security, Trust, etc.
Chair Hiroki Takakura(NII)
Vice Chair Katsunari Yoshioka(Yokohama National Univ.) / Kazunori Kamiya(NTT)
Secretary Katsunari Yoshioka(NICT) / Kazunori Kamiya(KDDI labs.)
Assistant Keisuke Kito(Mitsubishi Electric) / Toshihiro Yamauchi(Okayama Univ.)

Paper Information
Registration To Technical Committee on Information and Communication System Security / Special Interest Group on Security Psychology and Trust
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Construction of Vulnerability Evaluation System with Machine Learning Methods
Sub Title (in English)
Keyword(1) vulnerability response
Keyword(2) security risk
Keyword(3) machine learning
1st Author's Name Ryu Watanabe
1st Author's Affiliation KDDI Research, Inc.(KDDIR)
2nd Author's Name Takashi Matsunaka
2nd Author's Affiliation KDDI Research, Inc.(KDDIR)
3rd Author's Name Ayumu Kubota
3rd Author's Affiliation KDDI Research, Inc.(KDDIR)
4th Author's Name Junpei Urakawa
4th Author's Affiliation KDDI Digital Security/KDDI Research, Inc.(KDS/KDDIR)
Date 2021-03-01
Paper # ICSS2020-29
Volume (vol) vol.120
Number (no) ICSS-384
Page pp.pp.19-24(ICSS),
#Pages 6
Date of Issue 2021-02-22 (ICSS)