Mitigate: Toward Comprehensive Research and Development for Analyzing and Combating IoT Malware
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- NAKAO Koji
- Institute of Advanced Sciences, Yokohama National University
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- YOSHIOKA Katsunari
- Institute of Advanced Sciences, Yokohama National University Graduate School of Environment and Information Sciences, Yokohama National University
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- SASAKI Takayuki
- Institute of Advanced Sciences, Yokohama National University
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- TANABE Rui
- Institute of Advanced Sciences, Yokohama National University
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- HUANG Xuping
- Institute of Advanced Sciences, Yokohama National University
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- TAKAHASHI Takeshi
- NICT
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- FUJITA Akira
- NICT
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- TAKEUCHI Jun'ichi
- Kyushu University
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- MURATA Noboru
- Waseda University
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- SHIKATA Junji
- Institute of Advanced Sciences, Yokohama National University Graduate School of Environment and Information Sciences, Yokohama National University
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- IWAMOTO Kazuki
- SecureBrain Corporation
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- TAKADA Kazuki
- SecureBrain Corporation
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- ISHIDA Yuki
- SecureBrain Corporation
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- TAKEUCHI Masaru
- JAPAN DATACOM Co., Ltd.
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- YANAI Naoto
- Osaka University
抄録
<p>In this paper, we developed the latest IoT honeypots to capture IoT malware currently on the loose, analyzed IoT malware with new features such as persistent infection, developed malware removal methods to be provided to IoT device users. Furthermore, as attack behaviors using IoT devices become more diverse and sophisticated every year, we conducted research related to various factors involved in understanding the overall picture of attack behaviors from the perspective of incident responders. As the final stage of countermeasures, we also conducted research and development of IoT malware disabling technology to stop only IoT malware activities in IoT devices and IoT system disabling technology to remotely control (including stopping) IoT devices themselves.</p>
収録刊行物
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- IEICE Transactions on Information and Systems
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IEICE Transactions on Information and Systems E106.D (9), 1302-1315, 2023-09-01
一般社団法人 電子情報通信学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390297305330025088
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- ISSN
- 17451361
- 09168532
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可