Abstract
With the continuous growth of cyber threats, traditional security mechanisms no longer support. They fail to safeguard modern networks. Intrusion Detection and Prevention Systems (IDPS) have developed into developed security solutions that are capable of detecting, analyzing, and mitigating sophisticated attacks in real time. Advanced Intrusion Detection System and Intrusion Prevention System leverage machine learning, anomaly detection, signature-based methods, and deep packet inspection to identify both known and unknown threats. Unlike traditional IDS, which only monitors and reports suspicious activity, advanced IPS actively blocks malicious traffic before it reaches critical assets. This project focuses on the design and implementation of an advanced IDS/IPS framework that combines signature-based and behaviour-based techniques for enhanced accuracy and reduced false positives. The proposed system improves network visibility, threat intelligence integration, and proactive defence mechanisms against emerging cyberattacks, making it suitable for enterprise and cloud-based environments.