Machine Learning-Based Distributed Intrusion Detection System in Industrial Edge Environments: Challenge Identification

Distributed Intrusion Detection Systems (DIDS) in resource-constrained edge environments have become increasingly important due to the development of the Industrial Internet of Things (IIoT). In this paper, we have identified several key and relevant challenges in developing the DIDS in edge environments, by reviewing related works on different issues. The results of this work can provide references for future research.