Achieving Accuracy and Scalability Simultaneously in Detecting Application Clones on Android Market

Besides traditional problems such as potential bugs, (smartphone) application clones on Android markets bring new threats. Existing techniques achieve either accuracy or scalability, but not both. To solve those problems, we use a geometry characteristic, called centroid, of dependency graphs to measure the similarity between methods (code fragments) in two apps. Here is the demo of the system.

Our paper was accepted by the 36th International Conference on Software Engineering (ICSE 2014).[PDF]

Finding Unknown Malice in 10 Seconds: Mass Vetting for New Threats at the Google-Play Scale

Our malware detection platform, MassVet, detected over 100,000 potentially harmful apps (PHA). Among them, 10,000 PHAs are missed by VirusTotal. MassVet can also detect app piracy in a large scale, over millions of apps, in seconds. For more details, please refer to our paper. Or you can use MassVet to analyze Android apps at Android Malware Detection Platform. Here is the demo and media reports of the system.

Our paper was accepted by the 24th USENIX Security Symposium (USENIX Security 2015).[PDF]

Following Devil's Footprints: Cross-Platform Analysis of Potentially Harmful Libraries on Android and iOS

We report the first systematic study on PhaLibs across Android and iOS, based upon a key observation that many iOS libraries have Android versions that can potentially be used to understand their behaviors and the relations between the libraries on both sides.

Our paper was accepted by the 37th IEEE Symposium on Security and Privacy (IEEE S&P 2016).[PDF][Data]

Graduate Students

Ph.D. Students

  • Yi Chen

    Yi Chen (Co-advised Ph.D.)

    IIE, Chinese Academy of Sciences
  • Xuejing Yuan

    Xuejing Yuan

    IIE, Chinese Academy of Sciences
  • Peiyuan Zong

    Peiyuan Zong

    IIE, Chinese Academy of Sciences
  • Ruigang Liang

    Ruigang Liang

    IIE, Chinese Academy of Sciences
  • Yue Zhao

    Yue Zhao

    IIE, Chinese Academy of Sciences
  • Yingzhe He

    Yingzhe He

    IIE, Chinese Academy of Sciences
  • Dawei Wang

    Dawei Wang

    IIE, Chinese Academy of Sciences

Graduate Students

Master Students

  • Qianqian Zhao

    Qianqian Zhao (Co-advised M.S.)

    IIE, Chinese Academy of Sciences
  • Mingming Zha

    Mingming Zha

    IIE, Chinese Academy of Sciences
  • Xiaokang Liu

    Xiaokang Liu

    IIE, Chinese Academy of Sciences
  • Zhixiu Guo

    Zhixiu Guo

    IIE, Chinese Academy of Sciences
  • Yingkun Wang

    Yingkun Wang

    IIE, Chinese Academy of Sciences

Internship

Ph.D. Students

  • Yunhui Long

    Yunhui Long

    University of Illinois at Urbana-Champaign

Master Students

  • Weihao Huang

    Weihao Huang

    Beijing University of Posts and Telecommunications

Undergraduate Students

  • Dandan Xu

    Dandan Xu

    Huazhong University of Science and Technology
  • Tao Lv

    Tao Lv

    Huazhong University of Science and Technology
  • Zizhuang Deng

    Zizhuang Deng

    Xidian University