A Secure Cloud Migration, Monitoring and Analytics Framework for Industrial Internet of Things

The fourth industrial revolution combines cutting-edge technologies such as Industrial Internet of Things (IIoT) and cloud computing. However, this inevitable revolution faces challenges due to the presence of legacy equipment in industrial systems. Legacy equipment hinders the adoption of emerging cloud technologies due to data privacy, security and interoperability issues. This paper proposes a secure cloud migration approach for industrial systems and investigates whether it can meet real-time control system requirements without compromising system safety and security. The proposed approach is generic enough to be applied for different industrial sectors with minimal interruption to operations during the cloud migration process. Due to the large number of IIoT devices, manual system monitoring to pin-point issues is a tedious and time-consuming task. This paper also proposes an automated monitoring and management framework for large complex IIoT network that tracks and reports issues using different forms of notifications. Experimental validation on a real microgrid testbed facility concluded that the proposed approach is promising for time-critical industrial systems.

[1]  Sakir Sezer,et al.  Demonstrating Cyber-Physical Attacks and Defense for Synchrophasor Technology in Smart Grid , 2018, 2018 16th Annual Conference on Privacy, Security and Trust (PST).

[2]  Xiaoqing Frank Liu,et al.  Cyber-physical manufacturing cloud: Architecture, virtualization, communication, and testbed , 2017 .

[3]  Hongyu Pei Breivold.  Towards factories of the future: migration of industrial legacy automation systems in the cloud computing and Internet-of-things context , 2019, Enterp. Inf. Syst..

[4]  Xiaolong Xu,et al.  Big data challenges and opportunities in the hype of Industry 4.0 , 2017, 2017 IEEE International Conference on Communications (ICC).

[5]  Cristina Alcaraz,et al.  A Survey of IoT-Enabled Cyberattacks: Assessing Attack Paths to Critical Infrastructures and Services , 2018, IEEE Communications Surveys & Tutorials.

[6]  Rodrigo Roman,et al.  Analysis of Cybersecurity Threats in Industry 4.0: The Case of Intrusion Detection , 2017, CRITIS.

[7]  Sakir Sezer,et al.  Design and Implementation of Security Gateway for Synchrophasor Based Real-Time Control and Monitoring in Smart Grid , 2017, IEEE Access.

[8]  Javier López,et al.  Access control for cyber-physical systems interconnected to the cloud , 2018, Comput. Networks.

[9]  Tiago Antonio Rizzetti,et al.  Cyber security and communications network on SCADA systems in the context of Smart Grids , 2015, 2015 50th International Universities Power Engineering Conference (UPEC).

[10]  Xi He,et al.  Cyber-Attacks in PMU-Based Power Network and Countermeasures , 2018, IEEE Access.

[11]  Ray Y. Zhong,et al.  Cloud-based control of industrial cyber-physical systems , 2018 .

[12]  Jamaiah Yahaya,et al.  Information Security Factors in the Implementation of Industrial Control System into Cloud Environment , 2018 .

[13]  Sakir Sezer,et al.  Model based intrusion detection system for synchrophasor applications in smart grid , 2017, 2017 IEEE Power & Energy Society General Meeting.

[14]  Peter Maynard,et al.  Threat Analysis of BlackEnergy Malware for Synchrophasor based Real-time Control and Monitoring in Smart Grid , 2016, ICS-CSR.

[15]  Sakir Sezer,et al.  Inter-Technology Bridging Gateway: A Low Cost Legacy Adaptation Approach to Secure Industrial Systems , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).