AI-Based Network Security Anomaly Prediction and Detection in Future Network

Intrusion detection mechanisms, an important technology in network security, systematically track suspicious activities or patterns in a system and indicate if any events are vulnerable to an attack Incorporating, or embedding the concept of Artificial Intelligence into the detection of anomalies is justified because of the fact that it possesses special skill sets in the mold of accuracy/precision, automation, performing evaluations in real time, and self-learning (with streams of training data, of course) to bolster the efficacy with which anomaly detection is implemented.However, the paper is aimed to be a general approach which in network security that utilizes AI-techniques for anomaly prediction and detection. The suggested system leverages AI-based algorithms to analyze network traffic flow and identify patterns of anomalies.