Unsupervised Detection of Anomalous Behavior in Wireless Devices based on Auto-Encoders

A major problem of wireless devices is the detection of security threats in an efficient manner. Several recent incidents show that malicious applications (apps) can find their ways to online markets (e.g., Google Play Store) and be available for download and installation. Such malicious apps can co...

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Veröffentlicht in:	IEEE/IFIP Network Operations and Management Symposium S. 1 - 7
Hauptverfasser:	Albasir, A., Hu, Q., Al-tekreeti, M., Naik, K., Naik, N., Kozlowski, A. J., Goel, N.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.04.2020
Schlagworte:	Communication system security Denoising AutoEncoder Feature extraction Malware Malware Detection Power Consumption Information Power demand Support vector machines Wireless communication Wireless Devices Wireless sensor networks
ISSN:	2374-9709
Online-Zugang:	Volltext
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