HomeResearchPublications

AndroParse - An Android Feature Extraction Framework and Dataset

back to overview

Reference

Schmicker, R., Breitinger, F., & Baggili, I. (2019). AndroParse - An Android Feature Extraction Framework and Dataset. Paper presented at the Digital Forensic and Cyber Crime.

Publication type

Paper in Conference Proceedings

Abstract

Android malware has become a major challenge. As a consequence, practitioners and researchers spend a significant time analyzing Android applications (APK). A common procedure (especially for data scientists) is to extract features such as permissions, APIs or strings which can then be analyzed. Current state of the art tools have three major issues: (1) a single tool cannot extract all the significant features used by scientists and practitioners (2) Current tools are not designed to be extensible and (3) Existing parsers can be timely as they are not runtime efficient or scalable. Therefore, this work presents AndroParse which is an open-source Android parser written in Golang that currently extracts the four most common features: Permissions, APIs, Strings and Intents. AndroParse outputs JSON files as they can easily be used by most major programming languages. Constructing the parser allowed us to create an extensive feature dataset which can be accessed by our independent REST API. Our dataset currently has 67,703 benign and 46,683 malicious APK samples.

Persons

Organizational Units

  • Institute of Information Systems
  • Hilti Chair for Data and Application Security

DOI

http://dx.doi.org/doi:10.1007/978-3-030-05487-8_4