EURASIP Journal on Wireless Communications and Networking
Distributed Big Data Processing in SCADA Communication Networks
Nov. 15, 2019 (in 2 months)
Supervisory control and data acquisition (SCADA) system is a computer network system spread over a wide area in order to remotely control and monitoring a specific process in a working field. The process can be industrial, infrastructure or facility-based. SCADA systems are network presence systems that face significant threats and attacks. Despite the great efforts to acquire live data on SCADA communication networks, the continuously change of this type of data and the risk on the system’s services make it a big challenge. As a result, intelligent tools for distributed data processing in SCADA communication networks are urgent. These tools allow the system to monitor file integrity and acquire live data in a way that minimizes risk to the system’s services. From being functionally monolithic and centralized data based in the past, the SCADA Communication Networks had been transferred to being distributed big data processing networking systems that adopt the traditional data processing approach to high-performance networking systems. Openness, heterogeneity, adaptivity, and dynamism of work environments are becoming the main characteristics of modern SCADA Networking applications, and it becomes evident that they are becoming increasingly interconnected and more challenging to maintain. Due to the increase in these networks size, complexity and the number of components, it is no longer practical to anticipate and model all possible interactions and data processing in these networks using the traditional data processing model. Centralized processing of this data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks.
Lead Guest Editor
- Mohamed Elhoseny, Mansoura University, Egypt
- Xiaohui Yuan, University of North Texas, USA
- Saru Kumari, Chaudhary Charan Singh University, India