Network Intrusion Detection System with Anomaly-Based ML Models

Original price was: ₹6,999.00.Current price is: ₹3,999.00. inc GSTs*

Signature-based security systems cannot defend against “zero-day” attacks or evolving malware variants. There is a critical requirement for anomaly-based detection systems that learn baseline network behavior and identify deviations indicating potential breaches or malicious reconnaissance activities.

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The project implements a Network Intrusion Detection System (NIDS) using Autoencoders and Random Forests to identify unusual traffic patterns. It analyzes network flow data (IPs, ports, packet sizes) to establish a “normal” operational profile. Any significant statistical deviation is flagged as a potential intrusion. The system is trained on modern datasets like CIC-IDS2017 to ensure it can detect contemporary attack vectors. This provides a proactive defense layer for corporate networks, capable of identifying stealthy attacks that lack known signatures.

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Network Intrusion Detection System with Anomaly-Based ML Models

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