ASParseV3: Auto-Static Parser and Customizable Visualizer
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-34969-0_3
Reference36 articles.
1. Al Khayer A, Almomani I, Elkawlak K (2020) ASAF: android static analysis framework. In: 2020 first international conference of smart systems and emerging technologies (SMARTTECH). IEEE, New York, pp 197–202
2. Almohaini R, Almomani I, AlKhayer A (2021) Hybrid-based analysis impact on ransomware detection for Android systems. Appl Sci 11(22):10976
3. Almomani I, Ahmed M, El-Shafai W (2022) Android malware analysis in a nutshell. PloS One 17(7):e0270647
4. Almomani I, AlKhayer A, Ahmed M (2021) An efficient machine learning-based approach for Android v. 11 ransomware detection. In: 2021 1st international conference on artificial intelligence and data analytics (CAIDA). IEEE, New York, pp 240–244
5. Almomani I, Alkhayer A, El-Shafai W (2022) An automated vision-based deep learning model for efficient detection of android malware attacks. IEEE Access 10:2700–2720
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