NIDR: Network Interference Detection and Rectification
Rose Mary K A, Celestine Joy, Denin Devis, Irene Fransisco, Deepa Devassy, Livya George · 2024
In the contemporary digital landscape, ensuring the continuous functionality of computer networks is vital for business and critical infrastructure success. This research project utilizes cutting-edge technologies like machine learning and anomaly detection to monitor network traffic and system logs. Through in-depth analysis of traffic patterns, identification of attack signatures, and prompt anomaly detection, the system provides accurate and timely identification of network attacks. Key components include real-time monitoring, comprehensive attack signature databases, and intelligent alerting for swift response, aiming to empower small-scale organizations in safeguarding their data and effectively responding to evolving cyber threats.