kingsfordaboagye19-ops/real-time-anomaly-detection-in-network-traffic-using-deep-learning

# real-time-anomaly-detection-in-network-traffic-using-deep-learning Real-time anomaly detection in network traffic using deep learning is an advanced cybersecurity approach that continuously ingests and analyzes raw network data such as packet headers, flow records, and inter-arrival times to instantly identify deviations from normal behavioral baselines using neural network architectures like autoencoders,etc.