Abstract
This chapter discusses the importance of IDS in computer networks while wireless networks grow rapidly these days by providing a survey of a security breach in wireless networks. Many methods have been used to improve IDS performance, the most promising one is to deploy machine learning. Then, the usefulness of recent models of machine learning, called a deep learning, is highlighted to improve IDS performance, particularly as a Feature Learning (FL) approach. We also explain the motivation of surveying deep learning-based IDSs.
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Cisco Visual Networking Index: Forecast and Methodology 2015–2020, published at www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/complete-white-paper-c11-481360.html
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Kim, K., Aminanto, M.E., Tanuwidjaja, H.C. (2018). Introduction. In: Network Intrusion Detection using Deep Learning. SpringerBriefs on Cyber Security Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-13-1444-5_1
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DOI: https://doi.org/10.1007/978-981-13-1444-5_1
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