Intrusion Detection System using the Hybrid Model of Classification Algorithm and Rule-Based Algorithm

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Published: Jun 12, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i6s.6941
Keywords:
Rule-Based Algorithm, Intrusion Detection System, Hybrid Model

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Abhijit Kadam
Bharati Vidyapeeth Deemed to be University, College of Engineering, Pune, India
Bindu Garg
Bharati Vidyapeeth Deemed to be University, College of Engineering, Pune, India
Milind Gayakwad
Bharati Vidyapeeth Deemed to be University, College of Engineering, Pune, India
Rahul Joshi
Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India
Ketan Kotecha
Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India

Abstract

Intrusion detection system ID is necessary to secure the system from various intrusions. Analysis of the communication to categorize the data as useful or malicious data is crucial. The cyber security employed using intrusion detection systems should not also cause the extra time to perform the categorization. Nowadays machine learning techniques are used to make the identification of malicious data or an intrusion with the help of classification algorithms. The data set used for experimenting is KDD cup 99. The effect of individual classification algorithms can be improvised with the help of hybrid classification models. This model combines classification algorithms with rule-based algorithms. The blend of classification using machine and human intelligence adds an extra layer of security. An algorithm is validated using precision, recall, F-Measure, and Mean age Precision.


The accuracy of the algorithm is 92.35 percent. The accuracy of the model is satisfactory even after the results are acquired by combining our rules inwritten by humans with conventional machine learning classification algorithms. Still, there is scope for improving and accurately classifying the attack precisely.

Article Details

How to Cite
Kadam, A. ., Garg, B. ., Gayakwad, M. ., Joshi, R. ., & Kotecha, K. . (2023). Intrusion Detection System using the Hybrid Model of Classification Algorithm and Rule-Based Algorithm. International Journal on Recent and Innovation Trends in Computing and Communication, 11(6s), 351–357. https://doi.org/10.17762/ijritcc.v11i6s.6941
Issue
Vol. 11 No. 6s (2023): Advances in Computational Modeling and Simulation of Computing Systems
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Articles

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