University of Twente Student Theses


Digital Twin and Securing IoT Applications in Industry 4.0

Gebremariam, T.H. (2023) Digital Twin and Securing IoT Applications in Industry 4.0.

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Abstract:Connectivity and data exchange are key features of Industry 4.0. In this paradigm, (Industrial) Internet of Things (IoT) plays a vital role in facilitating the collection and transmission of environmental data from the physical system to the central server(Digital Twin) for processing and analysis. Although (I)IoT devices play a critical role in this process, they are not inherently equipped with enough resources (computational, memory and power) to run traditional encryption mechanisms like AES to secure the data they transmit over wired or wireless channels. In this research, first, we explored the security role of Digital Twins (DT) in Industry 4.0 applications along with the security mechanism used to secure the data communicated between (I)IoT and Digital Twin (DT) through a Systematic Literature Review (SLR). Then, we proposed a communication scheme for constrained devices based on payload authenticated encryption using a recently standardized lightweight encryption algorithm called ASCON. The result of SLR revealed that Digital Twin is being widely adopted as a security tool provide security solutions such as intrusion detection, vulnerability assessment, cyber range, and threat intelligence using enabling technology like machine learning, data analytics, blockchain, cloud, and 5G network. The proposed communication scheme provides an efficient way to ensure the confidentiality, integrity, and authenticity of communicated data between constrained (I)IoT devices and cloud-hosted Digital Twin. The performance of the proposed scheme with three different implementations(without encryption, ASCON, and AES-GCM) is compared in terms of speed, memory usage and power consumption. The results show that ASCON outperforms AES-GCM in terms of speed, memory footprint, and power consumption.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science MSc (60300)
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