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Applying Machine Learning Techniques to Detect and Analyze Web Phishing Attacks., , and . iiWAS, page 355-359. ACM, (2018)Applying Deep Learning Techniques to CAN Bus Attacks for Supporting Identification and Analysis Tasks., , and . ICETE (2), page 479-487. SciTePress, (2018)Fighting Cybercrime by Introducing Trustworthiness and Interpretability in Deep Learning Malware Detection., , and . ERCIM News, 2022 (129): 0 (2022)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)Mobile Malware Detection using Op-code Frequency Histograms., , and . SECRYPT, page 27-38. SciTePress, (2015)Silent and Continuous Authentication in Mobile Environment., , , and . SECRYPT, page 97-108. SciTePress, (2016)Identifying Insecure Features in Android Applications using Model Checking., , and . ICISSP, page 589-596. SciTePress, (2018)VizMal: A Visualization Tool for Analyzing the Behavior of Android Malware., , , and . ICISSP, page 517-525. SciTePress, (2018)Real-Time Driver Behaviour Characterization Through Rule-Based Machine Learning., , , , and . SAFECOMP Workshops, volume 11094 of Lecture Notes in Computer Science, page 374-386. Springer, (2018)