Real-Time Anomaly Detection System for Network Administrators

Network Anomaly Detection solutions are essential tools for the Network Administrators looking to keep a safe, dependable, and efficient network infrastructure. Anomaly detection systems are necessary for network administrators to quickly recognize and assess any security breaches and threats. Administrators can take immediate action and reduce security concerns before they worsen when early identification occurs. The present study presents a packet inspection and analysis system using tshark and the LSTM-CNN model is trained for network anomaly detection. Overall, this paper provides valuable insights into building and deploying a robust real-time anomaly detection system to empower network administrators in safeguarding network infrastructure and data assets.