CONFETTY: A Tool for Enforcement and Data Confidentiality on Blockchain-Based Processes
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Publication date
2026-06-07
Editors
Zerbato, Francesca
Zdravkovic, Jelena
Pufahl, Luise
Poels, Geert
Kirikova, Marite
Advisors
Supervisors
Document Type
Part of book
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taverne
Abstract
Blockchain technology enforces the security, robustness, and traceability of operations of Process-Aware Information Systems (PAISs). In particular, transparency ensures that all data is publicly available, fostering trust among participants in the system. Although this is a crucial property to enable notarization and auditing, it hinders the adoption of blockchain in scenarios where confidentiality is required, as sensitive data is handled. Current solutions rely on cryptographic techniques or consortium blockchains, hindering the enforcement capabilities of smart contracts and the public verifiability of transactions. This work presents the CONFETTY open-source web application, a platform for public-blockchain based process execution that preserves data confidentiality and operational transparency. We use smart contracts to enact, enforce, and store public interactions, while we adopt attribute-based encryption techniques for fine-grained access to confidential information. This approach effectively balances the transparency inherent in public blockchains with the enforcement of the business logic.
Keywords
Blockchain, Business Process Management, InterPlanetary File System, Multi-Authority Attribute Based Encryption, Taverne, Management Information Systems, Control and Systems Engineering, Business and International Management, Information Systems, Modelling and Simulation, Information Systems and Management
Citation
Kryston, M, Marangone, E, Marcelletti, A & Di Ciccio, C 2026, CONFETTY : A Tool for Enforcement and Data Confidentiality on Blockchain-Based Processes. in F Zerbato, J Zdravkovic, L Pufahl, G Poels & M Kirikova (eds), Intelligent Information Systems - CAiSE 2026 Forum and Doctoral Consortium, Proceedings. Lecture Notes in Business Information Processing, vol. 587 LNBIP, Springer, pp. 204-212, 38th International Conference on Advanced Information Systems Engineering, CAiSE 2026, Verona, Italy, 8/06/26. https://doi.org/10.1007/978-3-032-27997-2_23, conference