作者
Olivier Brun, Yonghua Yin, Erol Gelenbe, Y Murat Kadioglu, Javier Augusto-Gonzalez, Manuel Ramos
发表日期
2018
研讨会论文
Security in Computer and Information Sciences: First International ISCIS Security Workshop 2018, Euro-CYBERSEC 2018, London, UK, February 26-27, 2018, Revised Selected Papers 1
页码范围
79-89
出版商
Springer International Publishing
简介
In this paper, we analyze the network attacks that can be launched against IoT gateways, identify the relevant metrics to detect them, and explain how they can be computed from packet captures. We also present the principles and design of a deep learning-based approach using dense random neural networks (RNN) for the online detection of network attacks. Empirical validation results on packet captures in which attacks were inserted show that the Dense RNN correctly detects attacks.
引用总数
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