Explainable Phishing URL Detection: Browser Extension

• Item type: Symposium(1)
• 公開日: 2024-10-15
• タイトル / 言語: en
• タイトル: Explainable Phishing URL Detection: Browser Extension
• タイトル / 言語: en
• タイトル: Explainable Phishing URL Detection: Browser Extension
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: Explainability, Phishing URL Detection, Chrome Browser Extension
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_5794
• 資源タイプ: conference paper
• 著者所属: Department of Computer Science and Communications Engineering, Waseda University
• 著者所属: National Consumer Affairs Center of Japan, Waseda University
• 著者所属: Waseda Research Institute for Science and Engineering, Waseda University / Research Organization of Information and Systems
• 著者所属: Faculty of Science and Engineering, Waseda University
• 著者所属(英): en
• 著者所属(英): Department of Computer Science and Communications Engineering, Waseda University
• 著者所属(英): en
• 著者所属(英): National Consumer Affairs Center of Japan, Waseda University
• 著者所属(英): en
• 著者所属(英): Waseda Research Institute for Science and Engineering, Waseda University / Research Organization of Information and Systems
• 著者所属(英): en
• 著者所属(英): Faculty of Science and Engineering, Waseda University
• 著者名: Eint, Sandi Aung; Tsuneo, Matsumoto; Fuyuko, Kido; Hayato, Yamana
• 著者名(英): Eint, Sandi Aung; Tsuneo, Matsumoto; Fuyuko, Kido; Hayato, Yamana
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: A phishing attack is a fraudulent mechanism deployed by malicious actors, impersonating credential authorities to acquire confidential information. A phishing URL is a URL-based intrusion that lures users into exposing personal data. Although prior research focuses on URL-based detection, the explainability of prediction falls behind compared to other areas, such as natural language processing (NLP) and recommendation systems. Moreover, surprisingly, phishing detection systems cannot enhance user awareness and remains a mysterious black-box system. Therefore, not only is phishing URL detection crucial, but the explainability of prediction is also indispensable to leverage user awareness. To the best of our knowledge, a space exists for explainable prediction with a browser plugin for better user awareness. Therefore, this study emphasizes (i) a Chrome browser extension and (ii) explainable phishing detection for better understanding.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: A phishing attack is a fraudulent mechanism deployed by malicious actors, impersonating credential authorities to acquire confidential information. A phishing URL is a URL-based intrusion that lures users into exposing personal data. Although prior research focuses on URL-based detection, the explainability of prediction falls behind compared to other areas, such as natural language processing (NLP) and recommendation systems. Moreover, surprisingly, phishing detection systems cannot enhance user awareness and remains a mysterious black-box system. Therefore, not only is phishing URL detection crucial, but the explainability of prediction is also indispensable to leverage user awareness. To the best of our knowledge, a space exists for explainable prediction with a browser plugin for better user awareness. Therefore, this study emphasizes (i) a Chrome browser extension and (ii) explainable phishing detection for better understanding.
• 書誌情報: コンピュータセキュリティシンポジウム2024論文集; p. 1064-1071, 発行日 2024-10-15
• 出版者 / 言語: ja
• 出版者: 情報処理学会