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Hybrid Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks. (arXiv:2204.09942v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
Industrial control systems (ICSs) are facing increasing cyber-physical
attacks that can cause catastrophes in the physical system. Efficient anomaly
detection models in the industrial sensor networks are essential for enhancing
ICS reliability and security, due to the sensor data is related to the
operational state of the ICS. Considering the limited availability of computing
resources, this paper proposes a hybrid anomaly detection approach in
cloud-edge collaboration industrial sensor networks. The hybrid approach
consists of sensor data detection models deployed at …
anomaly detection cloud data detection edge hybrid cloud industrial networks