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Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques.

, and . CoRR, (2021)

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Other publications of authors with the same name

DySign: Dynamic Fingerprinting for the Automatic Detection of Android Malware., , , and . CoRR, (2017)Automatic Investigation Framework for Android Malware Cyber-Infrastructures., and . CoRR, (2018)SONAR: Automatic Detection of Cyber Security Events over the Twitter Stream., , , and . ARES, page 23:1-23:11. ACM, (2017)TriDroid: a triage and classification framework for fast detection of mobile threats in android markets., , , , and . J. Ambient Intell. Humaniz. Comput., 12 (2): 1731-1755 (2021)Portable, Data-Driven Malware Detection using Language Processing and Machine Learning Techniques on Behavioral Analysis Reports., and . CoRR, (2018)PetaDroid: Adaptive Android Malware Detection Using Deep Learning., and . DIMVA, volume 12756 of Lecture Notes in Computer Science, page 319-340. Springer, (2021)SwiftR: Cross-platform ransomware fingerprinting using hierarchical neural networks on hybrid features., , and . Expert Syst. Appl., (September 2023)Cypider: building community-based cyber-defense infrastructure for android malware detection., , , and . ACSAC, page 348-362. ACM, (2016)Android Malware Detection using Deep Learning on API Method Sequences., , , and . CoRR, (2017)Resilient and Adaptive Framework for Large Scale Android Malware Fingerprinting using Deep Learning and NLP Techniques., and . CoRR, (2021)