Impact of Code Obfuscation on Android Malware Detection based on Static and Dynamic Analysis
Author:
Affiliation:
1. Università degli Studi di Trieste, Italy
2. Consiglio Nazionale delle Ricerche, Italy
3. Università degli Studi del Sannio, Italy
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Picker Blinder: a framework for automatic injection of malicious inter-app communication;Journal of Computer Virology and Hacking Techniques;2024-01-12
2. Towards a DeepMalOb Improvement in the Use of Formal Security Risk Analysis Methods;2023 IEEE 6th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech);2023-11-21
3. Android Malware Detection Methods Based on Convolutional Neural Network: A Survey;IEEE Transactions on Emerging Topics in Computational Intelligence;2023-10
4. A Survey and Evaluation of Android-Based Malware Evasion Techniques and Detection Frameworks;Information;2023-06-30
5. Use of Ensemble Learning to Detect Buffer Overflow Exploitation;IEEE Access;2023
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