A reproducible synthetic network traffic dataset with ground-truth anomaly labels, generated for benchmarking anomaly detection algorithms. Contains 19,643 log entries spanning 72 hours across a simul
"This dataset contains 5,000 synthetically generated communication sessions designed to simulate normal and anomalous traffic in distributed AI systems. Each sample consists of 20 continuous-valued st
A reproducible synthetic network traffic dataset with ground-truth anomaly labels, generated for benchmarking anomaly detection algorithms. Contains 19,643 log entries spanning 72 hours across a simul
