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Spotting the Malicious Moment: Characterizing Malware Behavior Using Dynamic Features.

, , , , and . ARES, page 372-381. IEEE Computer Society, (2016)

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Other publications of authors with the same name

Identifying Mobile Repackaged Applications through Formal Methods., , , , and . ICISSP, page 673-682. SciTePress, (2017)Ransomware Steals Your Phone. Formal Methods Rescue It., , , and . FORTE, volume 9688 of Lecture Notes in Computer Science, page 212-221. Springer, (2016)Spyware Detection using Temporal Logic., , , , and . ICISSP, page 690-699. SciTePress, (2019)Social Network Polluting Contents Detection through Deep Learning Techniques., , and . IJCNN, page 1-10. IEEE, (2019)Malware and Formal Methods: Rigorous Approaches for detecting Malicious Behaviour., , , and . ARES, page 76:1-76:6. ACM, (2017)Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection., , , and . IWSPA@CODASPY, page 50-57. ACM, (2016)Visualizing the outcome of dynamic analysis of Android malware with VizMal., , , , and . J. Inf. Secur. Appl., (2020)Android Collusion: Detecting Malicious Applications Inter-Communication through SharedPreferences., , , and . Inf., 11 (6): 304 (2020)Machine Learning for Driver Detection through CAN bus., , and . VTC Spring, page 1-5. IEEE, (2020)Experimenting and assessing machine learning tools for detecting and analyzing malicious behaviors in complex environments., , , and . J. Reliab. Intell. Environ., 4 (4): 225-245 (2018)