Accession Number : AD1008347


Title :   Specialized Binary Analysis for Vetting Android APPS Using GUI Logic


Descriptive Note : Technical Report,01 Nov 2013,31 Dec 2015


Corporate Author : University of Maryland College Park United States


Personal Author(s) : Memon,Atif


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1008347.pdf


Report Date : 01 Apr 2016


Pagination or Media Count : 43


Abstract : This project develops a suite of specialized analysis techniques for vetting Android applications to confirm the presence or rule out the absence of malice. The definition of malice of interest is an inconsistency between the action taken by the app and the user expectation of what the app is doing. These techniques enable security analysts to quickly vet any given Android app even if the source code is unavailable. These techniques make it possible to vet a large number of Android apps in a timely and cost-effective manner.


Descriptors :   computer programs , operating systems , computer security , detection , Graphical user interface , mobile application software , computer program documentation , malware , application software


Distribution Statement : APPROVED FOR PUBLIC RELEASE