Auto-creation of Robust Android Malware Family Trees

• Item type: Journal(1)
• 公開日: 2021-12-15
• タイトル: Auto-creation of Robust Android Malware Family Trees
• タイトル / 言語: en
• タイトル: Auto-creation of Robust Android Malware Family Trees
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [一般論文（推薦論文）] Android, malware, family tree
• 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: Waseda University／Presently with NTT Security (Japan) KK
• 著者所属: NTT／Presently with NTT Security (Japan) KK
• 著者所属: NTT
• 著者所属: Waseda University
• 著者所属(英): en
• 著者所属(英): Waseda University / Presently with NTT Security (Japan) KK
• 著者所属(英): en
• 著者所属(英): NTT / Presently with NTT Security (Japan) KK
• 著者所属(英): en
• 著者所属(英): NTT
• 著者所属(英): en
• 著者所属(英): Waseda University
• 著者名: Kazuya, Nomura; Daiki, Chiba; Mitsuaki, Akiyama; Masato, Uchida
• 著者名(英): Kazuya, Nomura; Daiki, Chiba; Mitsuaki, Akiyama; Masato, Uchida
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: Malware targeting Android OS has been increasing for years and Android malware cyberattacks in particular are growing in number. To provide effective countermeasures against Android malware, we need to not only detect the malware at a certain point in time but also analyze the time-series changes in the malware, given that the family of Android malware will increase in number over time. In this paper, we propose a new method for automatically creating a “family tree” of Android malware that can represent how the newly detected Android malware relates to existing Android malware and its families and how they have changed over time. Our evaluation based on two actual Android malware datasets shows that our proposed family tree can accurately represent time-series changes between malware families.; ------------------------------; 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.29.801; ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: Malware targeting Android OS has been increasing for years and Android malware cyberattacks in particular are growing in number. To provide effective countermeasures against Android malware, we need to not only detect the malware at a certain point in time but also analyze the time-series changes in the malware, given that the family of Android malware will increase in number over time. In this paper, we propose a new method for automatically creating a “family tree” of Android malware that can represent how the newly detected Android malware relates to existing Android malware and its families and how they have changed over time. Our evaluation based on two actual Android malware datasets shows that our proposed family tree can accurately represent time-series changes between malware families.; ------------------------------; 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.29.801; ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 62, 号 12, 発行日 2021-12-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764