MARTSIA: Enabling Data Confidentiality for Blockchain-Based Process Execution

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationEnterprise Design, Operations, and Computing - 27th International Conference, EDOC 2023, Proceedings
EditorsHenderik A. Proper, Luise Pufahl, Dimka Karastoyanova, Marten van Sinderen, João Moreira
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages19
ISBN (Print)9783031465864
StatePublished - 2024
Event27th International Conference on Enterprise Design, Operations, and Computing, EDOC 2023 - Groningen, Netherlands
Duration: 30 Oct 20233 Nov 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14367 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference27th International Conference on Enterprise Design, Operations, and Computing, EDOC 2023


  • Distributed Ledger Technology
  • InterPlanetary File System
  • Multi-Authority Attribute Based Encryption


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