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Security Frameworks in Mobile Cloud Computing Read chapter Read first chapter

2020 | OriginalPaper | Chapter

35. Machine Learning Based Intrusion Detection Techniques

Authors : Kishor Kumar Gulla, P. Viswanath, Suresh Babu Veluru, R. Raja Kumar

Published in: Handbook of Computer Networks and Cyber Security

Publisher: Springer International Publishing

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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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Metadata
Title
Machine Learning Based Intrusion Detection Techniques
Authors
Kishor Kumar Gulla
P. Viswanath
Suresh Babu Veluru
R. Raja Kumar
Copyright Year
2020
Book
Handbook of Computer Networks and Cyber Security

Print ISBN: 978-3-030-22276-5

Electronic ISBN: 978-3-030-22277-2

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-22277-2_35

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