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Machine Learning Based Malware Detection in Wireless Devices Using Power Footprints.

, , , , , , и . ISSE, стр. 1-8. IEEE, (2019)

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Unsupervised Detection of Anomalous Behavior in Wireless Devices based on Auto-Encoders., , , , , , и . NOMS, стр. 1-7. IEEE, (2020)Smart mobile web browsing., , и . iCAST/UMEDIA, стр. 671-679. IEEE, (2013)Detection of anomalous behavior of smartphones using signal processing and machine learning techniques., , , , , , и . PIMRC, стр. 1-7. IEEE, (2017)Deep Learning Based Approach for Classifying Power Signals and Detecting Anomalous Behavior of Wireless Devices., , и . SERVICES, стр. 92-98. IEEE, (2019)Vehicular Networks for a Greener Environment: A Survey., , , и . IEEE Commun. Surv. Tutorials, 15 (3): 1372-1388 (2013)Experimental study of energy and bandwidth costs of web advertisements on smartphones., , , и . MobiCASE, стр. 90-97. IEEE, (2014)Machine Learning Based Malware Detection in Wireless Devices Using Power Footprints., , , , , , и . ISSE, стр. 1-8. IEEE, (2019)Detection of Anomalous Behavior in Wireless Devices Using Changepoint Analysis., , , , и . ICIOT, стр. 82-90. IEEE, (2019)Detection of unknown applications in smartphones: A signal processing perspective., , , , , , и . CCECE, стр. 1-6. IEEE, (2017)A Strongly Non-Intrusive Methodology to Monitor and Detect Anomalous Behaviour of Wireless Devices., , , , и . ISSE, стр. 1-8. IEEE, (2020)