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Unsupervised Detection of Anomalous Behavior in Wireless Devices based on Auto-Encoders., , , , , , and . NOMS, page 1-7. IEEE, (2020)Smart mobile web browsing., , and . iCAST/UMEDIA, page 671-679. IEEE, (2013)Detection of anomalous behavior of smartphones using signal processing and machine learning techniques., , , , , , and . PIMRC, page 1-7. IEEE, (2017)Vehicular Networks for a Greener Environment: A Survey., , , and . IEEE Commun. Surv. Tutorials, 15 (3): 1372-1388 (2013)Deep Learning Based Approach for Classifying Power Signals and Detecting Anomalous Behavior of Wireless Devices., , and . SERVICES, page 92-98. IEEE, (2019)Machine Learning Based Malware Detection in Wireless Devices Using Power Footprints., , , , , , and . ISSE, page 1-8. IEEE, (2019)Detection of Anomalous Behavior in Wireless Devices Using Changepoint Analysis., , , , and . ICIOT, page 82-90. IEEE, (2019)Experimental study of energy and bandwidth costs of web advertisements on smartphones., , , and . MobiCASE, page 90-97. IEEE, (2014)Detection of unknown applications in smartphones: A signal processing perspective., , , , , , and . CCECE, page 1-6. IEEE, (2017)Using Deep Learning to Classify Power Consumption Signals of Wireless Devices: An Application to Cybersecurity., , , and . ICASSP, page 2032-2036. IEEE, (2018)