NDLI: Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation

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Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation

Content Provider	ACM Digital Library
Author	Rytilahti, Teemu Giacinto, Giorgio Winandy, Marcel Maiorca, Davide Holz, Thorsten Hoffmann, Johannes
Abstract	The recent past has shown that Android smartphones became the most popular target for malware authors. Malware families offer a variety of features that allow, among the others, to steal arbitrary data and to cause significant monetary losses. This circumstances led to the development of many different analysis methods that are aimed to assess the absence of potential harm or malicious behavior in mobile apps. In return, malware authors devised more sophisticated methods to write mobile malware that attempt to thwart such analyses. In this work, we briefly describe assumptions analysis tools rely on to detect malicious content and behavior. We then present results of a new obfuscation framework that aims to break such assumptions, thus modifying Android apps to avoid them being analyzed by the targeted systems. We use our framework to evaluate the robustness of static and dynamic analysis systems for Android apps against such transformations.
Starting Page	139
Ending Page	141
Page Count	3
File Format	PDF
ISBN	9781450339353
DOI	10.1145/2857705.2857737
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-03-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Dex bytecode Obfuscation Malware Program analysis Android
Content Type	Text
Resource Type	Article

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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