TemporalFED: Detecting Cyberattacks in Industrial Time-Series Data Using Decentralized Federated Learning

Understand

Industry 4.0 has brought numerous advantages, such as increasing productivity through automation.

• However, it also presents major cybersecurity issues such as cyberattacks affecting industrial processes.
• Federated Learning (FL) combined with time-series analysis is a promising cyberattack detection mechanism proposed in the literature.
• However, the fact of having a single point of failure and network bottleneck are critical challenges that need to be tackled.