International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,August 2017,

Topic : Preventing Obfuscated Malware via Differential Fault Analysis

Authors:Shubhangi.D.C || Amena Roohi

Abstract:The rapid growth of Smartphone sales has come hand in hand with a similar increase in the number and sophistication of malicious software targeting these platforms. Malware analysis is a thriving research area with a substantial amount of still unsolved problems. A major source of security problems is precisely the ability to incorporate third-party applications from available online markets. In the case of smart phones, the impressive growth both in malware and begin apps is making increasingly unaffordable any human driven analysis of potentially dangerous apps. Malware samples consists of hiding and obfuscating modules containing malicious functionality in places that static analysis tools overlook ALTERDROID, is a open source tool for detecting, through reverse engineering, obfuscated functionality in components distributed as parts of an app package. Such components are often part of a malicious app and are hidden outside its main code components, as code components may be subject to static analysis by market operators. The key idea in ALTERDROID consists of analyzing the behavioural differences between the original app and an altered version where a number of modifications. The Malware applications are shown in the screen, and then the user can uninstall the malicious application. The experimental results obtained by testing ALTERDROID over relevant apps and malware samples support the quality and viability of our proposal. .

Keywords: Computer security, Malware, Mobile computing, obfuscated

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DOI: 01.1617/vol4/iss8/pid74612


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Contact : info@ijercse.com


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