Machine Learning Algorithms Performance Evaluation for Intrusion Detection

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Shyla -; Kumar Kapil; Bhatnagar Vishal

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Journal Paper

Paper Information

Journal: Journal of Information Technology Management Year:2021 | Volume:13 | Issue:1 Page(s): 42-61

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Title

Machine Learning Algorithms Performance Evaluation for Intrusion Detection

Author(s)

Shyla - | Kumar Kapil | Bhatnagar Vishal | Issue Writer Certificate

Keywords

Intrusion Detection System

Naïve Bayes

Random Forest

Support Vector Machine

Abstract

The steadily growing dependency over network environment introduces risk over information flow. The continuous use of various applications makes it necessary to sustain a level of security to establish safe and secure communication amongst the organizations and other networks that is under the threat of intrusions. The detection of Intrusion is the major research problem faced in the area of information security, the objective is to scrutinize threats or intrusions to secure information in the network Intrusion Detection System (IDS) is one of the key to conquer against unfamiliar intrusions where intruders continuously modify their pattern and methodologies. In this paper authors introduces Intrusion Detection System (IDS) framework that is deployed over KDD Cup99 dataset by using machine learning algorithms as Support Vector Machine (SVM), Naï ve Bayes and Random Forest for the purpose of improving the precision, accuracy and recall value to compute the best suited algorithm.

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APA: Copy

Shyla, -, Kumar, Kapil, & Bhatnagar, Vishal. (2021). Machine Learning Algorithms Performance Evaluation for Intrusion Detection. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, 13(1), 42-61. SID. https://sid.ir/paper/664986/en

Vancouver: Copy

Shyla -, Kumar Kapil, Bhatnagar Vishal. Machine Learning Algorithms Performance Evaluation for Intrusion Detection. JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT[Internet]. 2021;13(1):42-61. Available from: https://sid.ir/paper/664986/en

IEEE: Copy

- Shyla, Kapil Kumar, and Vishal Bhatnagar, “Machine Learning Algorithms Performance Evaluation for Intrusion Detection,” JOURNAL OF INFORMATION TECHNOLOGY MANAGEMENT, vol. 13, no. 1, pp. 42–61, 2021, [Online]. Available: https://sid.ir/paper/664986/en

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