Anomaly detection in wireless sensor network using Generative Adversarial Network (GAN)

Anomaly detection is a crucial concept across numerous research areas. Over the years, multiple efforts have been adopted to the arduous challenge of appropriately detecting and labelling anything unseen as unusual. Recently, this task has been solved with outstanding results utilizing the adversarial training method and generative adversarial networks (GANs). This article reviews the various GAN-based anomaly detection methods and discusses their advantages and disadvantages.