Identifying Inconsistencies in Network Data using ML

Team Members: Aakansh Togani, Mehul Jhaver, Sankalp Pandey

Brief Description:

• The Identifying Inconsistencies in Network Data using ML project is a machine learning model designed to detect anomalies in network data.
• The project explored and evaluated different methods to identify inconsistencies and suggested recommendations for practical application.
• The model achieved 93% accuracy in identifying potential security breaches using the K-Nearest Neighbors algorithm.
• This system can help organizations identify potential security breaches and take proactive measures to prevent them.