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Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code.

, , and . CANDAR, page 616-622. IEEE Computer Society, (2016)

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Silent and Continuous Authentication in Mobile Environment., , , and . SECRYPT, page 97-108. SciTePress, (2016)Mobile Malware Detection using Op-code Frequency Histograms., , and . SECRYPT, page 27-38. SciTePress, (2015)VizMal: A Visualization Tool for Analyzing the Behavior of Android Malware., , , and . ICISSP, page 517-525. SciTePress, (2018)Identifying Insecure Features in Android Applications using Model Checking., , and . ICISSP, page 589-596. SciTePress, (2018)Applying Deep Learning Techniques to CAN Bus Attacks for Supporting Identification and Analysis Tasks., , and . ICETE (2), page 479-487. SciTePress, (2018)Applying Machine Learning Techniques to Detect and Analyze Web Phishing Attacks., , and . iiWAS, page 355-359. ACM, (2018)Wearable Devices for Human Activity Recognition and User Detection., , , , and . PDP, page 365-372. IEEE, (2019)A Novel Structural-Entropy-based Classification Technique for Supporting Android Ransomware Detection and Analysis., , and . FUZZ-IEEE, page 1-7. IEEE, (2018)BPM perspectives to support ICSs: Exploiting the integration of formal verifications into investment service provision processes., , , and . Ind. Manag. Data Syst., 120 (7): 1383-1400 (2020)Enhanced Privacy and Data Protection using Natural Language Processing and Artificial Intelligence., , , , and . IJCNN, page 1-8. IEEE, (2020)