MARTSIA: Enabling Data Confidentiality for Blockchain-Based Process Execution

Edoardo Marangone, Claudio Di Ciccio, Daniele Friolo, Eugenio Nerio Nemmi, Daniele Venturi, Ingo Weber

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

Multi-party business processes rely on the collaboration of various players in a decentralized setting. Blockchain technology can facilitate the automation of these processes, even in cases where trust among participants is limited. Transactions are stored in a ledger, a replica of which is retained by every node of the blockchain network. The operations saved thereby are thus publicly accessible. While this enhances transparency, reliability, and persistence, it hinders the utilization of public blockchains for process automation as it violates typical confidentiality requirements in corporate settings. In this paper, we propose MARTSIA: A Multi-Authority Approach to Transaction Systems for Interoperating Applications. MARTSIA enables precise control over process data at the level of message parts. Based on Multi-Authority Attribute-Based Encryption (MA-ABE), MARTSIA realizes a number of desirable properties, including confidentiality, transparency, and auditability. We implemented our approach in proof-of-concept prototypes, with which we conduct a case study in the area of supply chain management. Also, we show the integration of MARTSIA with a state-of-the-art blockchain-based process execution engine to secure the data flow.

OriginalspracheEnglisch
TitelEnterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings
Redakteure/-innenHenderik A. Proper, Luise Pufahl, Dimka Karastoyanova, Marten van Sinderen, João Moreira
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten58-76
Seitenumfang19
ISBN (Print)9783031465864
DOIs
PublikationsstatusVeröffentlicht - 2024
Veranstaltung27th International Conference on Enterprise Design, Operations, and Computing, EDOC 2023 - Groningen, Niederlande
Dauer: 30 Okt. 20233 Nov. 2023

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band14367 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz27th International Conference on Enterprise Design, Operations, and Computing, EDOC 2023
Land/GebietNiederlande
OrtGroningen
Zeitraum30/10/233/11/23

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