| Title | ASAF: Android Static Analysis Framework |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Al Khayer, Aala, Almomani, Iman, Elkawlak, Khaled |
| Conference Name | 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH) |
| Date Published | nov |
| Keywords | Analytical models, android, APK, ASParse, composabiity, datasets, feature extraction, Human Behavior, malicious, Malware, Operating systems, parsing, pubcrawl, Resiliency, security, static analysis, Tools |
| Abstract | Android Operating System becomes a major target for malicious attacks. Static analysis approach is widely used to detect malicious applications. Most of existing studies on static analysis frameworks are limited to certain features. This paper presents an Android Static Analysis Framework (ASAF) which models the overall static analysis phases and approaches for Android applications. ASAF can be implemented for different purposes including Android malicious apps detection. The proposed framework utilizes a parsing tool, Android Static Parse (ASParse) which is also introduced in this paper. Through the extendibility of the ASParse tool, future research studies can easily extend the parsed features and the parsed files to perform parsing based on their specific requirements and goals. Moreover, a case study is conducted to illustrate the implementation of the proposed ASAF. |
| DOI | 10.1109/SMART-TECH49988.2020.00053 |
| Citation Key | al_khayer_asaf_2020 |
ASAF: Android Static Analysis Framework