Improve the Efficiency of Large RFID Network Using Enhanced Security Data Delivery Model for Machine Learning Based Network Intrusion Detection System – A Survey
Keywords:
Machine Learning, Cyber Security, Intrusion Detection SystemAbstract
The main issue in both computer and computer networks is security. Intrusion Detection System (IDS) has faced many problems constantly growing methods and techniques by attackers and also the increase of connected devices from interpretation to operation. A major research problem in network security is IDS. Machine Learning algorithms were adapted as a result of this for Network IDS. To analyze network traffic datasets are used and a framework developed which enables the use of network traffic that is frequently updated and concerned to entitle the complete solutions for model deployment. The framework consists of (i)generation of attacked Dataset, (ii) the bonafide dataset, (iii) training models using machine learning techniques, (iv) training the model, and (v) deployment and evaluation of the model. This framework has the following characteristics: frequently updated network traffic, reproducible attacks, and addresses that examine the model’s realization and deployment.
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Copyright (c) 2022 Nagarathna C, B Muthu Kumar, Bhavana N, Manjushree T L, Deepa Pattan
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