Abstract
Nowadays the usage of Internet has being increased exponentially due to the reason of keeping most sensitive data in on-line. It leads vulnerabilities on the data that is available in on-line like intruders can raise any kind of attacks. Therefore, intrusion detection helps a computing environment or computer system to deal with such kind of attacks. Intrusion detection is also an important supplement as well as component in the traditional computer security mechanism. It can be considered as a typical classification problem. Therefore to develop an effective intrusion detection method, the machine learning methods can be used. This chapter briefs the current state of the art in the intrusion detection domain using the supervised learning approaches of machine learning.
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Gulla, K.K., Viswanath, P., Veluru, S.B., Kumar, R.R. (2020). Machine Learning Based Intrusion Detection Techniques. In: Gupta, B., Perez, G., Agrawal, D., Gupta, D. (eds) Handbook of Computer Networks and Cyber Security. Springer, Cham. https://doi.org/10.1007/978-3-030-22277-2_35
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DOI: https://doi.org/10.1007/978-3-030-22277-2_35
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