Auto-creation of Android Malware Family Tree

Kazuya Nomura, Daiki Chiba, Mitsuaki Akiyama, Masato Uchida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationICC 2021 - IEEE International Conference on Communications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728171227
Publication statusPublished - 2021 Jun
Event2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada
Duration: 2021 Jun 142021 Jun 23

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Conference2021 IEEE International Conference on Communications, ICC 2021
CityVirtual, Online


  • Android
  • Family tree
  • Malware

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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