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A Resource-Optimized Approach to Efficient Early Detection of Mobile Malware.

, , , and . ARES, page 333-340. IEEE Computer Society, (2014)

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Runtime Classification of Mobile Malware for Resource-Constrained Devices., , and . ICETE (Selected Papers), volume 764 of Communications in Computer and Information Science, page 195-215. Springer, (2016)synERGY: Cross-correlation of operational and contextual data to timely detect and mitigate attacks to cyber-physical systems., , , , , , , , , and 3 other author(s). J. Inf. Secur. Appl., (2020)Intermediate solutions of second order quasilinear ordinary differential equations in the framework of regular variation., , and . Appl. Math. Comput., 219 (15): 8178-8191 (2013)A Security-enhanced Design Methodology for Embedded Systems., , and . SECRYPT, page 39-50. SciTePress, (2013)Time Series Kernel Similarities for Predicting Paroxysmal Atrial Fibrillation from ECGs., , , , and . IJCNN, page 1-8. IEEE, (2018)Extinguishing Ransomware - A Hybrid Approach to Android Ransomware Detection., , , , and . FPS, volume 10723 of Lecture Notes in Computer Science, page 242-258. Springer, (2017)What does the memory say? Towards the most indicative features for efficient malware detection., , and . CCNC, page 759-764. IEEE, (2016)Modeling Requirements for Security-enhanced Design of Embedded Systems., , and . SECRYPT, page 315-320. SciTePress, (2014)MalAware: Effective and Efficient Run-Time Mobile Malware Detector., , and . DASC/PiCom/DataCom/CyberSciTech, page 270-277. IEEE Computer Society, (2016)It All Matters: Reporting Accuracy, Inference Time and Power Consumption for Face Emotion Recognition on Embedded Systems., , , , and . CoRR, (2018)