Abstract
This chapter briefly introduces all the relevant definitions on Intrusion Detection System (IDS), followed by a classification of current IDSs, based on the detection module located and the approach adopted. We also explain and provide examples of one common IDS in research fields, which is machine-learning-based IDS. Then, we discuss an example of IDS using bio-inspired clustering method.
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Kim, K., Aminanto, M.E., Tanuwidjaja, H.C. (2018). Intrusion Detection Systems. 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_2
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DOI: https://doi.org/10.1007/978-981-13-1444-5_2
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