Curriculum Vitaes
Profile Information
- Affiliation
- Graduate School of Applied Informatics, University of Hyogo
- Degree
- Doctor of Philosophy in Engineering(Waseda University)
- J-GLOBAL ID
- 201601019783857916
- researchmap Member ID
- 7000017476
日本国籍取得に伴い、2021年2月より名前が変わりました.
Research Areas
1Committee Memberships
9-
Nov, 2024 - Present
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Jun, 2023 - Present
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Dec, 2018 - Present
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Jun, 2023 - Jun, 2025
Awards
7-
Sep, 2025
Papers
42-
The ACM Conference on Computer and Communications Security (ACM CCS 2026), Jun, 2026 Peer-reviewed
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28th International Conference on Information and Communications Security (ICICS 2026), May, 2026 Peer-reviewed
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Proceedings of the 41st ACM/SIGAPP Symposium on Applied Computing, 1810-1819, Mar 23, 2026 Peer-reviewed
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Computer Modeling in Engineering Sciences, 147(1) 1-10, Feb, 2026 Peer-reviewedCorresponding author
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IEEE Transactions on Emerging Topics in Computing, 14(1) 348-363, Feb, 2026 Peer-reviewedCorresponding author
Misc.
7-
Oct, 2024 Corresponding author
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2016(2) 1040-1047, Oct 4, 2016
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IEICE technical report. Information and communication system security, 114(340) 61-66, Nov 27, 2014Many Web-based attacks such as Drive-by-download and phishing scam are easily triggered by accessing landing page URL. Most Web users usually click the URL without being aware of its underlying dangerousness. so they received Material or financial damage due to Web-based attacks. URL Blacklist is one of effective approach for preventing Web-based attacks from occurring.However,Blacklist's update cannot catch up with the appearance of new malicious URL. Under this situation, the main objective of this research is to extend URL Blacklist with variety of new malicious URL as quickly as possible. We propose Magnet system that can gather new URL that is similar to few existing malicious ones considered as query based on static feature. In this paper, we describe the detail of Magnet system and experiment conclusion.