MitM Attack Detection in BLE Networks Using Reconstruction and Classification Machine Learning Techniques-Reference-Cited by-同舟云学术

MitM Attack Detection in BLE Networks Using Reconstruction and Classification Machine Learning Techniques

Published:2020 Issue: Volume: Page:149-164
ISSN:1865-0929
Container-title:ECML PKDD 2020 Workshops
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Author:

Lahmadi Abdelkader,Duque Alexis,Heraief Nathan,Francq Julien

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-65965-3_10

Reference20 articles.

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2. Antonakakis, M., et al.: Understanding the Mirai Botnet. In: 26th USENIX Security Symposium (USENIX Security 17), pp. 1093–1110, August 2017

3. Botchkarev, A.: Performance metrics (error measures) in machine learning regression, forecasting and prognostics: properties and typology (2018)

4. Box, G.E.P., Jenkins, G.M.: Time Series Analysis: Forecasting and Control, 3rd edn. Prentice Hall PTR, USA (1994)

5. Cayre, R., Roux, J., Alata, E., Nicomette, V., Auriol, G.: Mirage: un framework offensif pour l’audit du bluetooth low energy. In: Symposium sur la Sécurité des Technologies de l’Information et des Communications (SSTIC 2019) (2019)

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