Novel Approach for Network Intrusion Detection using Machine Learning

Authors: Prof. Sachin Pandey

DOI: https://doi.org/10.37082/IJIRMPS.2020.v08i06.008

Short DOI: https://doi.org/ghtwkm

Country: India

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Abstract: Advancement in the technologies has led to increment in the massive amount of data that massive amount of generated data has to be secured in such way that third party should not be able to take control over them The online platforms such as face book which has large number of users are the main sources of generating large amount of data ,each users activity on the internet is being captured in one or the other ways, security of network has become a great challenge in this modern era. Hence it has become very important to build an effective intrusion detection system. We have implemented a compressive survey of some of the major machine learning techniques based on Naïve Bays Classifier, K Nearest Neighbors Classifier, Decision Tree Classifier and the Logistic Regression in this paper

Keywords: IDS, Artificial Neural Network, NSL-KDD Dataset, Feature Selection

Paper Id: 850

Published On: 2020-12-12

Published In: Volume 8, Issue 6, November-December 2020

Cite This: Novel Approach for Network Intrusion Detection using Machine Learning - Prof. Sachin Pandey - IJIRMPS Volume 8, Issue 6, November-December 2020. DOI 10.37082/IJIRMPS.2020.v08i06.008

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