@inproceedings{c266a275783d49ab857117a4c8e94768,
title = "A de-obfuscation system based on Markov models",
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.",
keywords = "abstract syntax tree, de-obfuscation, Markov models, obfuscation",
author = "Zhixuan Ni and Chenxu Wang and Jing Tao and Qi Zhang",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE.; 2022 International Conference on Computer Network Security and Software Engineering, CNSSE 2022 ; Conference date: 25-02-2022 Through 27-02-2022",
year = "2022",
doi = "10.1117/12.2640798",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wenshun Sheng and Yongquan Yan",
booktitle = "International Conference on Computer Network Security and Software Engineering, CNSSE 2022",
}