Auto-creation of Android Malware Family Tree

Kazuya Nomura, Daiki Chiba, Mitsuaki Akiyama, Masato Uchida

研究成果: Conference contribution

抄録

Android malware has been a growing threat. For an effective countermeasure against Android malware, we need to not only detect the malware at a certain point in time but also analyze its time-series changes of malware, taking into account 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 is related to existing Android malware and its families, and how they have changed over time. Our evaluation using 24,474 actual Android malware APKs shows that our proposed family tree is able to accurately represent time-series changes between malware families.

本文言語English
ホスト出版物のタイトルICC 2021 - IEEE International Conference on Communications, Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728171227
DOI
出版ステータスPublished - 2021 6
イベント2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada
継続期間: 2021 6 142021 6 23

出版物シリーズ

名前IEEE International Conference on Communications
ISSN(印刷版)1550-3607

Conference

Conference2021 IEEE International Conference on Communications, ICC 2021
国/地域Canada
CityVirtual, Online
Period21/6/1421/6/23

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学

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