Executing Collaborative Decisions Confidentially on Blockchains

Haarmann, Stephan; Batoulis, Kimon; Nikaj, Adriatik; Weske, Mathias

doi:10.1007/978-3-030-30429-4_9

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…Such a pattern exists in [13], and some applications introduce this system to guarantee the confidentiality of data. In [17], authors implemented a system to allow companies to execute decision models privately by only storing a hash of the decision off-chain, and revealing inputs and logic if a conflict occurs to litigate. Also, [18] proposes a system where collaborative business processes can be designed, the activities being local private processes from collaborators.…”

Section: Related Workmentioning

confidence: 99%

A Blockchain-Based Pattern for Confidential and Pseudo-Anonymous Contract Enforcement

Six

Ribalta

Herbaut

et al. 2020

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

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Blockchain has been praised for its capacity to hold data in a decentralized and tamper-proof way. It also supports the execution of code through blockchain's smart contracts, adding automation of actions to the network with high trustability. However, as smart contracts are visible by anybody on the network, the business data and logic may be at risk, thus companies could be reluctant to use such technology. This paper aims to propose a pattern that allows the execution of automatable legal contract clauses, where its execution states are stored in an on-chain smart-contract and the logic needed to enforce it wraps it off-chain. An engine completes this pattern by running a business process that corresponds to the legal contract. We then propose a pattern-based solution based on a real-life use case: transportation of refrigerated goods. We argue that this pattern guarantees companies pseudonymity and data confidentiality while ensuring that an audit trail can be reconstituted through the blockchain smart-contract to identify misbehavior or errors. This paper paves the way for a future possible implementation of the solution described, as well as its evaluation.

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Section: Related Workmentioning

confidence: 99%

A Blockchain-Based Pattern for Confidential and Pseudo-Anonymous Contract Enforcement

Six

Ribalta

Herbaut

et al. 2020

2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

View full text Add to dashboard Cite

show abstract

“…The mpk is also necessary, though it is encrypted in the IPFS file with the public key of the SKM. Therefore, the Reader makes an access request to the SKM (11). In turn, the SKM asks for the IPFS link from the Smart Contract (12,13).…”

Section: Bill Of Materialsmentioning

confidence: 99%

“…As we resort to IPFS to store data, though, the integration should include oracles that permit Smart Contracts to interact with off-chain data [19,1]. The system designer would then be able to determine the trade-off between full transparency on the decision process and access control, by balancing the on-chain and off-chain storage of data as discussed in [11]. Finally, we aim to implement this system with other public blockchains in the future (e.g., Algorand [4]) and test this system with real-world multi-party business processes in production.…”

Section: Conclusion and Future Remarksmentioning

confidence: 99%

Fine-grained Data Access Control for Collaborative Process Execution on Blockchain

Edoardo¹,

Ciccio²,

Weber³

2022

Preprint

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Multi-party business processes are based on the cooperation of different actors in a distributed setting. Blockchains can provide support for the automation of such processes, even in conditions of partial trust among the participants. On-chain data are stored in all replicas of the ledger and therefore accessible to all nodes that are in the network. Although this fosters traceability, integrity, and persistence, it undermines the adoption of public blockchains for process automation since it conflicts with typical confidentiality requirements in enterprise settings. In this paper, we propose a novel approach and software architecture that allow for fine-grained access control over process data on the level of parts of messages. In our approach, encrypted data are stored in a distributed space linked to the blockchain system backing the process execution; data owners specify access policies to control which users can read which parts of the information. To achieve the desired properties, we utilise Attribute-Based Encryption for the storage of data, and smart contracts for access control, integrity, and linking to process data. We implemented the approach in a proof-of-concept and conduct a case study in supply-chain management. From the experiments, we find our architecture to be robust while still keeping execution costs reasonably low.

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Executing DMN Decisions on the Blockchain

Haarmann

2021

Blockchain and Robotic Process Automation

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Executing Collaborative Decisions Confidentially on Blockchains

Cited by 7 publications

References 15 publications

A Blockchain-Based Pattern for Confidential and Pseudo-Anonymous Contract Enforcement

A Blockchain-Based Pattern for Confidential and Pseudo-Anonymous Contract Enforcement

Fine-grained Data Access Control for Collaborative Process Execution on Blockchain

Executing DMN Decisions on the Blockchain

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