Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States
Tue 12 Nov 2019 15:00 - 15:20 at Hillcrest - Mobile 2 Chair(s): Myra Cohen

Malware scanning of an app market is expected to be scalable and effective. However, existing approaches use either syntax-based features which can be evaded by transformation attacks or semantic-based features which are usually extracted by performing expensive program analysis. Therefore, in this paper, we propose a lightweight graph-based approach to perform Android malware detection. Instead of traditional heavyweight static analysis, we treat function call graphs of apps as social networks and perform social-network-based centrality analysis to represent the semantic features of the graphs. Our key insight is that centrality provides a succinct and fault- tolerant representation of graph semantics, especially for graphs with certain amount of inaccurate information (e.g., inaccurate call graphs). We implement a prototype system, MalScan, and evaluate it on datasets of 15,285 benign samples and 15,430 malware samples. Experimental results show that MalScan is capable of detecting Android malware with up to 98% accuracy under one second which is more than 100 times faster than two state-of-the-art approaches, namely MaMaDroid and Drebin. We also demonstrate the feasibility of MalScan on market-wide malware scanning by performing a statistical study on over 3 million apps. Finally, in a corpus of dataset collected from Google-Play app market, MalScan is able to identify 18 zero-day malware including malware samples that can evade detection of existing tools.

Tue 12 Nov

Displayed time zone: Tijuana, Baja California change

13:40 - 15:20
Mobile 2Research Papers / Journal First Presentations at Hillcrest
Chair(s): Myra Cohen Iowa State University
13:40
20m
Talk
A Qualitative Analysis of Android Taint-Analysis Results
Research Papers
Linghui Luo Paderborn University, Eric Bodden Heinz Nixdorf Institut, Paderborn University and Fraunhofer IEM, Johannes Sp├Ąth Fraunhofer IEM
Pre-print File Attached
14:00
20m
Talk
Goal-Driven Exploration for Android Applications
Research Papers
Duling Lai University of British Columbia, Julia Rubin University of British Columbia
Pre-print
14:20
20m
Talk
RANDR: Record and Replay for Android Applications via Targeted Runtime Instrumentation
Research Papers
Onur Sahin Boston University, Assel Aliyeva Boston University, Hariharan Mathavan Boston University, Ayse Coskun Boston University, Manuel Egele Boston University, USA
14:40
20m
Talk
Specifying Callback Control Flow of Mobile Apps Using Finite Automata
Journal First Presentations
Danilo Dominguez Perez Iowa State University, Wei Le Iowa State University
Link to publication
15:00
20m
Talk
MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis
Research Papers
Yueming Wu Huazhong University of Science and Technology, Xiaodi Li University of Texas at Dallas, Deqing Zou Huazhong University of Science and Technology, Wei Yang University of Texas at Dallas, Xin Zhang Huazhong University of Science and Technology, Hai Jin Huazhong University of Science and Technology
Pre-print