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CONFETTY: A Tool for Enforcement and Data Confidentiality on Blockchain-Based Processes

arXiv Security Archived Mar 17, 2026 ✓ Full text saved

arXiv:2603.13900v1 Announce Type: new 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. Curren

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    Computer Science > Cryptography and Security [Submitted on 14 Mar 2026] CONFETTY: A Tool for Enforcement and Data Confidentiality on Blockchain-Based Processes Michele Kryston, Edoardo Marangone, Alessandro Marcelletti, Claudio Di Ciccio 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. Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2603.13900 [cs.CR]   (or arXiv:2603.13900v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2603.13900 Focus to learn more Submission history From: Edoardo Marangone [view email] [v1] Sat, 14 Mar 2026 11:27:21 UTC (470 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-03 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
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    ◬ AI & Machine Learning
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    Mar 17, 2026
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