Secure Low Latency Communication for Constrained Industrial IoT Scenarios

Hiller, Jens; Henze, Martin; Serror, Martin; Wagner, Eric; Richter, Jan Niklas; Wehrle, Klaus

doi:10.1109/lcn.2018.8638027

Cited by 39 publications

(32 citation statements)

References 22 publications

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“…If possible at all, modern security mechanisms have to be implemented in software only and run on the available hardware or be able to interface directly with the specialized devices used by grid operation companies, without affecting the availability of electricity supply. However, many devices in use may not have the computational power to support additional security functionality [ 50 , 51 , 52 , 53 , 54 ]. Even if certain devices are eventually exchanged or upgraded with new software, they are often required to support legacy protocols to be able to communicate with older devices still relying on these protocols.…”

Section: Communication Infrastructure Of Power Grids and Resulting Security Challengesmentioning

confidence: 99%

Cybersecurity in Power Grids: Challenges and Opportunities

Krause

Ernst

Klaer

et al. 2021

Sensors

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Increasing volatilities within power transmission and distribution force power grid operators to amplify their use of communication infrastructure to monitor and control their grid. The resulting increase in communication creates a larger attack surface for malicious actors. Indeed, cyber attacks on power grids have already succeeded in causing temporary, large-scale blackouts in the recent past. In this paper, we analyze the communication infrastructure of power grids to derive resulting fundamental challenges of power grids with respect to cybersecurity. Based on these challenges, we identify a broad set of resulting attack vectors and attack scenarios that threaten the security of power grids. To address these challenges, we propose to rely on a defense-in-depth strategy, which encompasses measures for (i) device and application security, (ii) network security, and (iii) physical security, as well as (iv) policies, procedures, and awareness. For each of these categories, we distill and discuss a comprehensive set of state-of-the art approaches, as well as identify further opportunities to strengthen cybersecurity in interconnected power grids.

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Section: Communication Infrastructure Of Power Grids and Resulting Security Challengesmentioning

confidence: 99%

Cybersecurity in Power Grids: Challenges and Opportunities

Krause

Ernst

Klaer

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…For instance, the latency requirement in industrial automation is much demanding, e.g., <2 ms cycle time for motion control, 2-10 ms for factory automation, ∼50 ms for process monitoring and 10-100 ms for video-operated remote control [54] while latency is relatively tolerable in the massive IoT category, e.g., 40-500 ms for traffic management, <1 s for audio and video transfer in smart grid [55], etc. The payload in industrial communication can range from a few bytes for process automation up to 250 bytes for machine control [54] and 1.5 kilobytes for smart grid [56]. Considering the number of concurrent nodes, typically >20 are deployed for high-mobility nodes and 10000 are required for low-mobility nodes [54].…”

Section: Highlights Of Experimental Resultsmentioning

confidence: 99%

Performance Evaluation of Containerization in Edge-Cloud Computing Stacks for Industrial Applications: A Client Perspective

Liu

Lan

Pang

et al. 2021

IEEE Open J. Ind. Electron. Soc.

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Today, the edge-cloud computing paradigm starts to gain increasing popularity, aiming to enable short latency, fast decision-making and intelligence at the network edge, especially for industrial applications. The container-based virtualization technology has been put on the roadmap by the industry to implement edge-cloud computing infrastructures. Has the performance of the container-based edge-cloud computing stacks reached industry requirement? In this paper, from the industrial client perspective, we provide a performance evaluation methodology and apply it to the state-of-the-art containerization-based edge-cloud computing infrastructures. The influences of the message sending interval, payload, network bandwidth and concurrent devices on full stack latency are measured, and the processing capability of executing machine learning tasks are benchmarked. The results show that containerization on the edge does not introduce noticeable performance degradation in terms of communication, computing and intelligence capabilities, making it a promising technology for the edge-cloud computing paradigm. However, there is a large room for performance improvement between current implementation of the edge-cloud infrastructure and the demanding requirements anticipated by time-critical industrial applications. We also emphasize and showcase that partitioning of an industrial application into microservices throughout the whole stack can be considered during solution design. The proposed evaluation methodology can be a reference to users of edge-cloud computing as well as developers to get a client perspective overview of system performance.

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“…One of the obvious requirements for the industrial operations at local network is to ensure low-latency-based delivery of the requested resources/services/computations [45]. The inclusion of the edge node with each of the local IoT cluster would address this very requirement by processing the latency-sensitive request near the IoT cluster itself.…”

Section: A Requirements For Local Networkmentioning

confidence: 99%

BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

et al. 2020

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Industry 4.0 encompasses a promise of a new industrial revolution in terms of providing secure, intelligent, autonomous and self-adaptive industrial IoT (IIoT) networks. Key industrial applications and systems will be significantly more complex due to the involvement of the vast number of different devices and diverse nature of various stakeholders and service providers. These complex industrial processes, services and applications also have strict requirements in terms of performance-latency in particular-and resource-efficiency, together with high standards for security and trust. In this context, Blockchain and Edge Computing emerge as prominent technologies to address the mentioned essential requirements and to further strengthen the rise of the new era of digitization. The Edge computing paradigm ensures low latency services for IIoT applications while optimizing the network usage, whereas Blockchain provides a decentralized way for ensuring data integrity, trust and security. In this paper, we propose a 'BlockEdge' framework that combines these two enabling technologies to address some of the critical issues faced by the current IIoT networks. We verify the feasibility of our approach by evaluating the performance and resource-efficiency of BlockEdge in terms of latency, power consumption and network usage, through simulations against non-Blockchain solution.

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Secure Low Latency Communication for Constrained Industrial IoT Scenarios

Cited by 39 publications

References 22 publications

Cybersecurity in Power Grids: Challenges and Opportunities

Cybersecurity in Power Grids: Challenges and Opportunities

Performance Evaluation of Containerization in Edge-Cloud Computing Stacks for Industrial Applications: A Client Perspective

BlockEdge: Blockchain-Edge Framework for Industrial IoT Networks

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