Towards Privacy-Preserving Malware Detection Systems for Android

Helei Cui, Yajin Zhou, Cong Wang, Qi Li, Kui Rent

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 24th International Conference on Parallel and Distributed Systems, ICPADS 2018
PublisherIEEE Computer Society
Pages545-552
Number of pages8
ISBN (Electronic)9781538673089
DOIs
StatePublished - 2 Jul 2018
Externally publishedYes
Event24th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2018 - Singapore, Singapore
Duration: 11 Dec 201813 Dec 2018

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2018-December
ISSN (Print)1521-9097

Conference

Conference24th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2018
Country/TerritorySingapore
CitySingapore
Period11/12/1813/12/18

Keywords

  • Android
  • malware detection
  • privacy preserving

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