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Understanding the Fake Removal Information Advertisement Sites
https://ipsj.ixsq.nii.ac.jp/records/211185
https://ipsj.ixsq.nii.ac.jp/records/211185b4be1f17-f04f-4122-a2cf-481f785f6f37
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-JNL6205004.pdf (1.4 MB)
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Copyright (c) 2021 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | Journal(1) | |||||||||||||||
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| 公開日 | 2021-05-15 | |||||||||||||||
| タイトル | ||||||||||||||||
| タイトル | Understanding the Fake Removal Information Advertisement Sites | |||||||||||||||
| タイトル | ||||||||||||||||
| 言語 | en | |||||||||||||||
| タイトル | Understanding the Fake Removal Information Advertisement Sites | |||||||||||||||
| 言語 | ||||||||||||||||
| 言語 | eng | |||||||||||||||
| キーワード | ||||||||||||||||
| 主題Scheme | Other | |||||||||||||||
| 主題 | [特集：情報システム論文] Fake AV software, social engineering attacks, FRAD sites | |||||||||||||||
| 資源タイプ | ||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||
| 資源タイプ | journal article | |||||||||||||||
| 著者所属 | ||||||||||||||||
| NTT Secure Platform Laboratories／Yokohama National University | ||||||||||||||||
| 著者所属 | ||||||||||||||||
| NTT Secure Platform Laboratories | ||||||||||||||||
| 著者所属 | ||||||||||||||||
| NTT Secure Platform Laboratories | ||||||||||||||||
| 著者所属 | ||||||||||||||||
| Yokohama National University | ||||||||||||||||
| 著者所属 | ||||||||||||||||
| Yokohama National University | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| NTT Secure Platform Laboratories / Yokohama National University | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| NTT Secure Platform Laboratories | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| NTT Secure Platform Laboratories | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| Yokohama National University | ||||||||||||||||
| 著者所属(英) | ||||||||||||||||
| en | ||||||||||||||||
| Yokohama National University | ||||||||||||||||
| 著者名 |
Takashi, Koide
× Takashi, Koide
× Daiki, Chiba
× Mitsuaki, Akiyama
× Katsunari, Yoshioka
× Tsutomu, Matsumoto
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| 著者名(英) |
Takashi, Koide
× Takashi, Koide
× Daiki, Chiba
× Mitsuaki, Akiyama
× Katsunari, Yoshioka
× Tsutomu, Matsumoto
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| 論文抄録 | ||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||
| 内容記述 | Fake antivirus (AV) software is a type of malware that disguises as legitimate antivirus software and causes harm to users and their devices. Fake removal information advertisement (FRAD) sites, which introduce fake removal information for cyber threats, have emerged as platforms for distributing fake AV software. Although FRAD sites seriously threaten users who have been suffering from cyber threats and need information for removing them, little attention has been given to revealing these sites. In this paper, we propose a system to automatically crawl the web and identify FRAD sites. To shed light on the pervasiveness of this type of attack, we performed a comprehensive analysis of both passively and actively collected data. Our system collected 2,913 FRAD sites in 31 languages, which have 73.5 million visits per month in total. We show that FRAD sites occupy search results when users search for cyber threats, thus preventing the users from obtaining the correct information. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.29(2021) (online) DOI http://dx.doi.org/10.2197/ipsjjip.29.392 ------------------------------ |
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| 論文抄録(英) | ||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||
| 内容記述 | Fake antivirus (AV) software is a type of malware that disguises as legitimate antivirus software and causes harm to users and their devices. Fake removal information advertisement (FRAD) sites, which introduce fake removal information for cyber threats, have emerged as platforms for distributing fake AV software. Although FRAD sites seriously threaten users who have been suffering from cyber threats and need information for removing them, little attention has been given to revealing these sites. In this paper, we propose a system to automatically crawl the web and identify FRAD sites. To shed light on the pervasiveness of this type of attack, we performed a comprehensive analysis of both passively and actively collected data. Our system collected 2,913 FRAD sites in 31 languages, which have 73.5 million visits per month in total. We show that FRAD sites occupy search results when users search for cyber threats, thus preventing the users from obtaining the correct information. ------------------------------ This is a preprint of an article intended for publication Journal of Information Processing(JIP). This preprint should not be cited. This article should be cited as: Journal of Information Processing Vol.29(2021) (online) DOI http://dx.doi.org/10.2197/ipsjjip.29.392 ------------------------------ |
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| 書誌レコードID | ||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||
| 収録物識別子 | AN00116647 | |||||||||||||||
| 書誌情報 |
情報処理学会論文誌 巻 62, 号 5, 発行日 2021-05-15 |
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| ISSN | ||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||
| 収録物識別子 | 1882-7764 | |||||||||||||||
