Computer-network-intrusion-detection
Computer-network-intrusion-detection
- Successfully implemented a computer network intrusion detection project using deep learning
- Compiled and utilized a dataset of 5 million records of network traffic data
- Trained the neural network model using cloud services for improved performance
- Attained an impressive accuracy rate of 98% and enhanced prediction capabilities
- Enabled more accurate intrusion detection by training the models to identify patterns and anomalies in network traffic data
- Leveraged AWS, MLflow, and Bentoml to establish a comprehensive end-to-end machine learning workflow.
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Posted Mar 4, 2024
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