Enhanced IDS using Hybrid Machine Learning Approach - Singhal, Mr. Pavan Kumar;Bhargava, Mr. Chandra Prakash;Yadav, Dr. Pradeep
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The Enhanced Intrusion Detection System utilizing a Hybrid Machine Learning Approach is a security system that leverages a combination of machine learning algorithms to detect and prevent unauthorized access to computer networks. The system analyzes network traffic patterns and monitors user behavior to identify potential threats. By using a hybrid machine learning approach, the system is designed to improve its ability to detect and prevent cyber attacks, ultimately enhancing network security.

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Produktbeschreibung
The Enhanced Intrusion Detection System utilizing a Hybrid Machine Learning Approach is a security system that leverages a combination of machine learning algorithms to detect and prevent unauthorized access to computer networks. The system analyzes network traffic patterns and monitors user behavior to identify potential threats. By using a hybrid machine learning approach, the system is designed to improve its ability to detect and prevent cyber attacks, ultimately enhancing network security.
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Autorenporträt
Pavan K Singhal trabalha como professor assistente no departamento de CSE do Moradabad Institute of Technology, UP. Tem uma experiência de mais de 17 anos.Chandra Prakash Bhargava trabalha como professor assistente no departamento de CSE do ITM Gwalior, M.P.Dr. Pradeep Yadav trabalha como Professor Associado no departamento de CSE do ITM Gwalior, M.P.