Real-Time Network Protection with Deep Learning

I'm seeking a capable developer to create a network intrusion detection and prevention system that leverages deep learning. This tool should be capable of providing real-time monitoring, deep analysis, and be integrated with a user-friendly web application.

The primary functionality of the system should be:

- Anomaly detection: using advanced deep learning algorithms to analyze network patterns and identify any unusual activities that could signify a possible attack.

For the web application's interface, the system should present:

- Graphical representation: visually display detected anomalies in a clear and intuitive manner, allowing for quick interpretation of the security status.

The ideal candidate should possess strong skills in deep learning, anomaly detection, network security, and web application development. Experience in similar projects will be highly valued. Time and reliability are crucial components for this project.

Diseño de sitios web Deep Learning Machine Learning (ML) WEBDEV Backend Development

Nº del proyecto: #37821200

Sobre el proyecto