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

Rafiullah Khan, Kieran McLaughlin, BooJoong Kang, David Laverty, Sakir Sezer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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.
Original languageEnglish
Title of host publication IEEE 6th World Forum on Internet of Things, New Orleans, United States.
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)978-1-7281-5503-6
ISBN (Print)978-1-7281-5504-3
Publication statusEarly online date - 13 Oct 2020
EventIEEE 6th World Forum on Internet of Things - New Orleans, United States
Duration: 05 Apr 202009 Apr 2020


ConferenceIEEE 6th World Forum on Internet of Things
Abbreviated titleWF-IoT 2020
Country/TerritoryUnited States
CityNew Orleans
Internet address


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