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Towards Privacy-Preserving Malware Detection Systems for Android

  • Helei Cui
  • , Yajin Zhou
  • , Cong Wang
  • , Qi Li
  • , Kui Rent
  • City University of Hong Kong
  • Zhejiang University
  • Tsinghua University

科研成果: 书/报告/会议事项章节会议稿件同行评审

9 引用 (Scopus)

摘要

Android is the primary target for mobile malware. To protect users, phone vendors (e.g., Samsung and Huawei) usually leverage third-party security service providers (e.g., VirusTotal and Qihoo 360) to detect malicious apps in app stores and collect apps' runtime behaviors on users' phones to further spot malware missed in the previous step. However, this practice could cause privacy concerns to phone vendors, users and security service providers. Specifically, phone vendors do not want to share apps (including the paid ones) with security service providers, while the latter do not want to share the malware signatures with the former. Moreover, users do not want to expose apps' runtime behaviors to third parties. These concerns would cause a real dilemma for each involved party. In this paper, we propose a privacy-preserving malware detection system for Android, in which the privacy (or assets) of phone vendors, users, and security service providers are protected. It detects malicious apps in phone vendor's app stores and on users' phones, without directly sharing apps, apps' runtime behaviors, and malware signatures to other parties. We implement a prototype system called PPMDroid and apply several optimizations to save bandwidth and speed up the process. Extensive evaluation results with real malware samples demonstrate the effectiveness and efficiency of our system.

源语言英语
主期刊名Proceedings - 2018 IEEE 24th International Conference on Parallel and Distributed Systems, ICPADS 2018
出版商IEEE Computer Society
545-552
页数8
ISBN(电子版)9781538673089
DOI
出版状态已出版 - 2 7月 2018
已对外发布
活动24th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2018 - Singapore, 新加坡
期限: 11 12月 201813 12月 2018

出版系列

姓名Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
2018-December
ISSN(印刷版)1521-9097

会议

会议24th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2018
国家/地区新加坡
Singapore
时期11/12/1813/12/18

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