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Machine Learning Based Intrusion Detection System for Denial of Service Attack

Machine Learning Based Intrusion Detection System for Denial of Service Attack

Ashish Pandey, Neelendra Badal
Copyright: © 2021 |Pages: 19
ISBN13: 9781799833277|ISBN10: 1799833275|ISBN13 Softcover: 9781799833284|EISBN13: 9781799833291
DOI: 10.4018/978-1-7998-3327-7.ch003
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MLA

Pandey, Ashish, and Neelendra Badal. "Machine Learning Based Intrusion Detection System for Denial of Service Attack." Computational Methodologies for Electrical and Electronics Engineers, edited by Rajiv Singh, et al., IGI Global, 2021, pp. 29-47. https://doi.org/10.4018/978-1-7998-3327-7.ch003

APA

Pandey, A. & Badal, N. (2021). Machine Learning Based Intrusion Detection System for Denial of Service Attack. In R. Singh, A. Singh, A. Dwivedi, & P. Nagabhushan (Eds.), Computational Methodologies for Electrical and Electronics Engineers (pp. 29-47). IGI Global. https://doi.org/10.4018/978-1-7998-3327-7.ch003

Chicago

Pandey, Ashish, and Neelendra Badal. "Machine Learning Based Intrusion Detection System for Denial of Service Attack." In Computational Methodologies for Electrical and Electronics Engineers, edited by Rajiv Singh, et al., 29-47. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-3327-7.ch003

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Abstract

Machine learning-based intrusion detection system (IDS) is a research field of network security which depends on the effective and accurate training of models. The models of IDS must be trained with new attacks periodically; therefore, it can detect any security violations in the network. One of most frequent security violations that occurs in the network is denial of service (DoS) attack. Therefore, training of IDS models with latest DoS attack instances is required. The training of IDS models can be more effective when it is performed with the help of machine learning algorithms because the processing capabilities of machine learning algorithms are very fast. Therefore, the work presented in this chapter focuses on building a model of machine learning-based intrusion detection system for denial of service attack. Building a model of IDS requires sample dataset and tools. The sample dataset which is used in this research is NSL-KDD, while WEKA is used as a tool to perform all the experiments.

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