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3 October 2022 A de-obfuscation system based on Markov models
Zhixuan Ni, Chenxu Wang, Jing Tao, Qi Zhang
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Proceedings Volume 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022); 1229008 (2022) https://doi.org/10.1117/12.2640798
Event: International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 2022, Zhuhai, China
Abstract
Android malware authors have widely used obfuscation techniques to avoid their harmful apps from detection. In this paper, we present an automatic method for de-obfuscation of Android apps. It is based on Markov models. Our tool mainly focuses on layout obfuscation created by obfuscator ProGuard, which is one of the most widely used obfuscators. The evaluation of the system verifies the effectiveness of the de-obfuscation task.
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Zhixuan Ni, Chenxu Wang, Jing Tao, and Qi Zhang "A de-obfuscation system based on Markov models", Proc. SPIE 12290, International Conference on Computer Network Security and Software Engineering (CNSSE 2022), 1229008 (3 October 2022); https://doi.org/10.1117/12.2640798
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KEYWORDS
Java
Data modeling
Analytical research
Statistical analysis
Detection and tracking algorithms
Systems modeling
Statistical image analysis
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