Private Multi-Hop Accountability for Supply Chains

Pennekamp, Jan; Bader, Lennart; Matzutt, Roman; Niemietz, Philipp; Trauth, Daniel; Henze, Martin; Bergs, Thomas; Wehrle, Klaus

doi:10.1109/iccworkshops49005.2020.9145100

Cited by 21 publications

(23 citation statements)

References 23 publications

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“…Currently, one of the most prominent research fields in smart grid security is the challenge of appropriately employing blockchain and distributed ledger technology, and the research community addresses this challenge from various angles. With a focus directly on smart grid security, approaches promise to realize distributed security for smart grids at a national and international level [ 135 ], secure the supply chain for assets in the grid [ 136 ], automate the verification of assets in the grid [ 137 ], or persistently store security audits [ 138 ]. Furthermore, different streams of research address the challenge of decentralized management and control of the grid, e.g., by realizing flexible, decentralized local energy markets to securely and efficiently integrate renewable energies into today’s rather static energy markets [ 139 , 140 ] or by forecasting demands for the grid and self-adjusting the consumption of power based on surges or drops in energy prices [ 137 ].…”

Section: Discussionmentioning

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: Discussionmentioning

confidence: 99%

Cybersecurity in Power Grids: Challenges and Opportunities

Krause

Ernst

Klaer

et al. 2021

Sensors

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“…In line with the advances made by large standardization projects, such as Gaia-X [18] or the IDS [111,112], we realized first prototypes of the WWL to showcase its potential to companies. For example, beyond our formalization on data interoperability [57], we already provide insights into the accountable and reliable data sharing in supply chains [5,117,118]. While research traditionally focuses on data sharing along the supply chain, we also particularly explore the data sharing across supply chains, and especially when trust relationships are missing [123].…”

Section: World Wide Lab (Wwl)mentioning

confidence: 99%

“…Once the required infrastructure is in place, it needs to be flexible enough to be sustained for future generations of industrial production systems. Research on how to implement accountability [118,123] and provenance [57] information in scenarios with wildly-branched dependencies and origins is still in its infancy. Thereby, versioned data is required for agents for consecutive information and explainability.…”

Section: Strategic Research Directions For the Internet Of Productionmentioning

confidence: 99%

A Computer Science Perspective on Digital Transformation in Production

Brauner

Dalibor

Jarke

et al. 2022

ACM Trans. Internet Things

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The Industrial Internet-of-Things (IIoT) promises significant improvements for the manufacturing industry by facilitating the integration of manufacturing systems by Digital Twins. However, ecological and economic demands also require a cross-domain linkage of multiple scientific perspectives from material sciences, engineering, operations, business, and ergonomics, as optimization opportunities can be derived from any of these perspectives. To extend the IIoT to a true Internet of Production , two concepts are required: first, a complex, interrelated network of Digital Shadows which combine domain-specific models with data-driven AI methods; and second, the integration of a large number of research labs, engineering, and production sites as a World Wide Lab which offers controlled exchange of selected, innovation-relevant data even across company boundaries. In this article, we define the underlying Computer Science challenges implied by these novel concepts in four layers: Smart human interfaces provide access to information that has been generated by model-integrated AI . Given the large variety of manufacturing data, new data modeling techniques should enable efficient management of Digital Shadows, which is supported by an interconnected infrastructure . Based on a detailed analysis of these challenges, we derive a systematized research roadmap to make the vision of the Internet of Production a reality.

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“…The requirement of RFID tags makes it difficult to apply it to our scenario, which includes both data and digital goods. Authors in [22] combine CP-ABE with Blockchain in international supply chains. They consider a product exchanged through different partners, but to which not all of them can access.…”

Section: State Of the Artmentioning

confidence: 99%

End to End Secure Data Exchange in Value Chains with Dynamic Policy Updates

Mosteiro-Sanchez¹,

Barceló²,

Astorga³

et al. 2022

Preprint

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Data exchange among value chain partners provides them with a competitive advantage, but the risk of exposing sensitive data is ever-increasing. Information must be protected in storage and transmission to reduce this risk, so only the data producer and the final consumer can access or modify it. End-to-end (E2E) security mechanisms address this challenge, protecting companies from data breaches resulting from value chain attacks. Moreover, value chain particularities must also be considered. Multiple entities are involved in dynamic environments like these, both in data generation and consumption. Hence, a flexible generation of access policies is required to ensure that they can be updated whenever needed. This paper presents a CP-ABE-reliant data exchange system for value chains with E2E security. It considers the most relevant security and industrial requirements for value chains. The proposed solution can protect data according to access policies and update those policies without breaking E2E security or overloading field devices. In most cases, field devices are IIoT devices, limited in terms of processing and memory capabilities. The experimental evaluation has shown the proposed solution's feasibility for IIoT platforms.

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Private Multi-Hop Accountability for Supply Chains

Cited by 21 publications

References 23 publications

Cybersecurity in Power Grids: Challenges and Opportunities

Cybersecurity in Power Grids: Challenges and Opportunities

A Computer Science Perspective on Digital Transformation in Production

End to End Secure Data Exchange in Value Chains with Dynamic Policy Updates

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