Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model

• Published in: Computer journal Vol. 65; no. 11; pp. 2909 - 2925
• Main Authors: Chen, Peng, Liu, Hongyun, Xin, Ruyue, Carval, Thierry, Zhao, Jiale, Xia, Yunni, Zhao, Zhiming
• Format: Journal Article
• Language: English
• Published: 11.11.2022

Quality of data services is crucial for operational large-scale internet-of-things (IoT) research data infrastructure, in particular when serving large amounts of distributed users. Effectively detecting runtime anomalies and diagnosing their root cause helps to defend against adversarial attacks, t...