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Education and Innovation in Embedded Systems Design

USI Università della Svizzera italiana, USI Faculty of Informatics, Advanced Learning and Research Institute USI Università della Svizzera italiana USI Faculty of Informatics USI Advanced Learning and Research Institute
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Kaitović, I., and M. Malek, "Optimizing Failure Prediction to Maximize Availability", 13th IEEE International Conference on Autonomic Computing (ICAC), Würzburg, Germany, 07/2016.
Balać, K., M. Akhmedov, M. Prevostini, and M. Malek, "Topology Optimization of Wireless Localization Networks", European Wireless 2016 , Oulu, Finland, 05/2016.
Milosevic, J., A. Ferrante, and M. Malek, "Trojan Families Identification Using Dynamic Features and Low Complexity Classifiers", 24th EICAR Annual Conference 2016 "Trustworthiness in IT Security Products", Nuremberg, Germany, EICAR, 10/2016.
Milosevic, J., A. Ferrante, and M. Malek, "What Does the Memory Say? Towards the most indicative features for efficient malware detection", CCNC 2016, The 13th Annual IEEE Consumer Communications & Networking Conference, Las Vegas, NV, USA, IEEE Communication Society, 01/2016.
Milosevic, J., F. Regazzoni, and M. Malek, "Malware Threats and Solutions for Trustworthy Mobile Systems Design", Hardware Security and Trust: Design and Deployment of Integrated Circuits in a Threatened Environment, First edition; 2016: Springer, pp. 149-167, 2017.
Malek, M., "Predictive Analytics: A Shortcut to Dependable Computing", Software Engineering for Resilient Systems, Cham, Springer International Publishing, 2017.
Milosevic, J., M. Malek, and A. Ferrante, "Runtime Classification of Mobile Malware for Resource-constrained Devices", Lecture Notes in Communications in Computer and Information Science, vol. 764: Springer International Publishing AG, pp. 195-215, 2017.
Ferrante, A., M. Malek, F. Martinelli, F. Mercaldo, and J. Milosevic, "Extinguishing Ransomware - A Hybrid Approach to Android Ransomware Detection", Foundations and Practice of Security, vol. 10723, Cham, Springer International Publishing, pp. 242-258, 02/2018.
Kaitović, I., and M. Malek, "Impact of Failure Prediction on Availability: Modeling and Comparative Analysis of Predictive and Reactive Methods", IEEE Transactions on Dependable and Secure Computing, pp. 1-1, 2018.
Bianchi, F. Maria, L. Livi, A. Ferrante, J. Milosevic, and M. Malek, "Time series kernel similarities for predicting Paroxysmal Atrial Fibrillation from ECGs", IJCNN 2018 : International Joint Conference on Neural Networks, Rio, Brazil, IEEE, 07/2018.