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Machine Learning Meets iOS Malware: Identifying Malicious Applications on Apple Environment., , and . ICISSP, page 487-492. SciTePress, (2017)Mobile Silent and Continuous Authentication using Apps Sequence., , , , , , and . SECRYPT, page 79-91. SciTePress, (2017)I find your behavior disturbing: Static and dynamic app behavioral analysis for detection of Android malware., , , and . PST, page 129-136. IEEE, (2016)Quantitative access control with partially-observable Markov decision processes., and . CODASPY, page 169-180. ACM, (2012)Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation., , , , and . Sensors, 23 (17): 7614 (September 2023)Probabilistic cost enforcement of security policies., , , , and . J. Comput. Secur., 23 (6): 759-787 (2015)A Survey on Security for Mobile Devices., , and . IEEE Commun. Surv. Tutorials, 15 (1): 446-471 (2013)An Explainable Convolutional Neural Network for Dynamic Android Malware Detection., , and . ICISSP, page 305-312. SciTePress, (2023)Towards Collaborative Cyber Threat Intelligence for Security Management., , , and . ICISSP, page 339-346. SCITEPRESS, (2021)BRIDEMAID: An Hybrid Tool for Accurate Detection of Android Malware., , and . AsiaCCS, page 899-901. ACM, (2017)