Intrusion Detecion System

With the rapid growth of computer networks and internet-based services, securing systems from cyber threats has become a major challenge. Traditional security mechanisms such as firewalls are not sufficient to detect all types of attacks, especially internal and unknown threats. An Intrusion Detection System (IDS) plays a crucial role in identifying malicious activities by continuously monitoring network traffic and system behavior.This project focuses on the design and development of an Intrusion Detection System that detects unauthorized access, misuse, and abnormal activities in a computer system or network. The proposed system analyzes incoming data using predefined rules and anomaly detection techniques to identify potential intrusions. When suspicious activity is detected, the system generates alerts and stores detailed logs for further investigation.The developed IDS reduces manual monitoring effort, improves detection accuracy, and enhances overall system security. The system is simple, efficient, and suitable for academic and small-scale organizational environments. Future enhancements include the integration of machine learning techniques and real-time alert mechanisms to improve detection of advanced cyber-attacks.