Exploitation and Detection of a Malicious Mobile Application

dc.contributor.author Nguyen, Thanh
dc.contributor.author McDonald, Jeffrey Todd
dc.contributor.author Glisson, William Bradley
dc.date.accessioned 2016-12-29T02:16:51Z
dc.date.available 2016-12-29T02:16:51Z
dc.date.issued 2017-01-04
dc.description.abstract Mobile devices are increasingly being embraced by both organizations and individuals in today’s society. Specifically, Android devices have been the prominent mobile device OS for several years. This continued amalgamation creates an environment that is an attractive attack target. The heightened integration of these devices prompts an investigation into the viability of maintaining non-compromised devices. Hence, this research presents a preliminary investigation into the effectiveness of current commercial anti-virus, static code analysis and dynamic code analysis engines in detecting unknown repackaged malware piggybacking on popular applications with excessive permissions. The contribution of this paper is two-fold. First, it provides an initial assessment of the effectiveness of anti-virus and analysis tools in detecting malicious applications and behavior in Android devices. Secondly, it provides process for inserting code injection attacks to stimulate a zero-day repackaged malware that can be used in future research efforts.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.747
dc.identifier.isbn 978-0-9981331-0-2
dc.identifier.uri http://hdl.handle.net/10125/41911
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Android
dc.subject Code Injection
dc.subject Malware analysis
dc.subject Smartphone Security
dc.title Exploitation and Detection of a Malicious Mobile Application
dc.type Conference Paper
dc.type.dcmi Text
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