Journal Article10.1080/19361610.2019.1667165
Analyzing Android Code Graphs against Code Obfuscation and App Hiding Techniques
Shikha Badhani,Sunil K. Muttoo +1 more
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TL;DR: This paper provides a framework for evaluating code graphs extracted from Android apps against code obfuscation and shows that code graphs can strongly confront single level obfuscation but are vulnerable to multi-level obfuscations.
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Abstract: Malware creators have been very innovative when it comes to creating versions of existing malware to evade detection by anti-malware tools. Obfuscation has been the all-time favorite weapon...
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Citations
A survey of android application and malware hardening
TL;DR: A taxonomy of Android malware hardening techniques available in the literature can be found in this paper, where the authors present an overview of Android and its state of the art security services.
61
Representing string computations as graphs for classifying malware
Justin Del Vecchio,Steven Y. Ko,Lukasz Ziarek +2 more
- 13 Jul 2020
TL;DR: This paper introduces a static analysis of Android applications to discover strings, how they are created, and their usage, and shows that leveraging string computation structures as features can yield precision and recall rates as high as 97% on modern malware.
On the evaluation of android malware detectors against code-obfuscation techniques
TL;DR: The evaluation results show that the inter-category-wise hybridized code obfuscation results in more evasion as compared to the individual or simple hybridized Code obfuscations (using multiple and similar code obfuscations) which most of the existing related work employed for the evaluation.
2
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Daniel Arp,Michael Spreitzenbarth,Malte Hubner,Hugo Gascon,Konrad Rieck +4 more
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TL;DR: DREBIN is proposed, a lightweight method for detection of Android malware that enables identifying malicious applications directly on the smartphone and outperforms several related approaches and detects 94% of the malware with few false alarms.
AndroZoo: collecting millions of Android apps for the research community
Kevin Allix,Tegawendé F. Bissyandé,Jacques Klein,Yves Le Traon +3 more
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TL;DR: This work presents a growing collection of Android Applications collected from several sources, including the official GooglePlay app market, which contains more than three million apps that have been analysed by tens of different AntiVirus products to know which applications are detected as Malware.
DroidMat: Android Malware Detection through Manifest and API Calls Tracing
Dong-Jie Wu,Ching-Hao Mao,Te-En Wei,Hahn-Ming Lee,Kuo-Ping Wu +4 more
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TL;DR: A static feature-based mechanism to provide a static analyst paradigm for detecting the Android malware and shows that the recall rate of the approach is better than one of well-known tool, Androguard, published in Black hat 2011, which focuses on Android malware analysis.
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Malware Obfuscation Techniques: A Brief Survey
Ilsun You,Kangbin Yim +1 more
- 04 Nov 2010
TL;DR: The malware obfuscation techniques are explored while reviewing the encrypted, oligomorphic, polymorphic and metamorphic malwares which are able to avoid detection.
649
DroidChameleon: evaluating Android anti-malware against transformation attacks
Vaibhav Rastogi,Yan Chen,Xuxian Jiang +2 more
- 08 May 2013
TL;DR: This paper evaluates the state-of-the-art commercial mobile antimalware products for Android and test how resistant they are against various common obfuscation techniques and proposes possible remedies for improving the current state of malware detection on mobile devices.