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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
ICSS, IPSJ-SPT 2025-03-07
15:50		 Okinawa Okinawa Prefectural Museum & Art Museum Data Generation Model for Evasion of Fraud Detection in Financial Transactions
Akitaka Tsujita, Hiroaki Inoue (Kobe U), Chaw thetzan, Yusuke Maruyama (EAGLYS), Seiichi Ozawa (Kobe U) ICSS2024-117		  [more] ICSS2024-117
pp.375-382
RCC, ISEC, IT, WBS 2024-03-13
- 2024-03-14		 Osaka Osaka Univ. (Suita Campus) Efficient Replay Data Selection in Continual Federated Learning Model
Yuto Kitano (Kobe Univ), Lihua Wang (NICT), Seiichi Ozawa (Kobe Univ) IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78		 In this study, we propose a continual federated learning that can continuously learn distributed data generated daily by... [more] IT2023-96 ISEC2023-95 WBS2023-84 RCC2023-78
pp.135-141
IT, ISEC, WBS 2019-03-07
09:55		 Tokyo University of Electro-Communications Exploring Malicious URL in Dark Web Using Tor Crawler
Yuki Kawaguchi, Seiichi Ozawa (Kobe Univ.) IT2018-76 ISEC2018-82 WBS2018-77		 In recent years, various web-based attacks such as Drive-by-Download attacks are becoming serious. To protect legitimate... [more] IT2018-76 ISEC2018-82 WBS2018-77
pp.7-12
ICSS, IPSJ-SPT 2016-03-03
12:40		 Kyoto Academic Center for Computing and Media Studies, Kyoto University Malicious-Spam-Mail Detection System with Autonomous Learning Ability
Shogo Osaka, Jun Kitazono, Seiichi Ozawa (Kobe Univ.), Tao Ban, Junji Nakazato (NICT), Jumpei Shimamura (clwit) ICSS2015-50		 Recently, damages caused by spam mails that guide receivers to malicious
web pages become more and more serious. In thi... [more]		 ICSS2015-50
pp.19-24
ICSS, IPSJ-SPT 2016-03-04
14:30		 Kyoto Academic Center for Computing and Media Studies, Kyoto University An Autonomous DDoS Backscatter Detection System from Darknet Traffic
Yuki Ukawa, Jun Kitazono, Seiichi Ozawa (Kobe Univ.), Tao Ban, Junji Nakazato (NICT), Jumpei Shimamura (clwit) ICSS2015-67		 This paper proposes an autonomous DDoS backscatter detection system from UDP darknet traffic. To identify DDoS backscatt... [more] ICSS2015-67
pp.123-128
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