Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems

Ronit Shetty; Chetna Achar

Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems

June 2024

Vol-10, Issue-3

Paper ID: 24336

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Cyber Security

Keywords

Intrusion Detection Systems (IDS) Network-Based Intrusion Detection Systems (NIDS) Machine Learning (ML) Anomaly Detection CICIDS 2019 Dataset Supervised Learning Unsupervised Learning Decision Trees Recursive Feature Elimination (RFE) Detection Techniques.

Abstract

IDS is central in cybersecurity because they enable watching of network performance and identification of abnormality. The research work of this paper does suggest the application of an ML model for intrusion detection and classification. For this reason, it is not very easy to deploy IDS in the current environment because modern attackers do not use similar tactics. To counteract these difficulties it is necessary to apply a network-based intrusion detection systems (NIDS). When choosing the datasets, the volume and the quality of data that is being fed into the ML algorithms have to be carefully examined. The objective of this work is to enhance the intrusion detection performances by using new datasets. Security systems that can aid in identifying user activity to separate between traditional and malicious activity are mandatory to retain the current network security level as threats continue to emerge.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Ronit Shetty	Institute of Computer Science, Mumbai Educational Trust - MET ICS, Mumbai, India
2	Chetna Achar	Institute of Computer Science, Mumbai Educational Trust - MET ICS, Mumbai, India

How to Cite

Use the following formats to cite this article in your research.

APA Style

Shetty, Ronit & Achar, Chetna (2024). Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 5516-5520.

MLA Style

Shetty, Ronit, and Chetna Achar. "Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 5516-5520.

IEEE Style

Ronit Shetty and Chetna Achar, "Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 5516-5520, 2024.

Vancouver Style

Shetty Ronit, Achar Chetna. Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):5516-5520.

Harvard Style

Shetty, Ronit & Achar, Chetna (2024) 'Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 5516-5520.

Chicago Style

Shetty, Ronit and Chetna Achar. "Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 5516-5520.

Turabian Style

Shetty, Ronit and Chetna Achar. "Advanced Machine Learning Techniques used in Network-Based Intrusion Detection Systems." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 5516-5520.