MARTSIA: Safeguarding Data Confidentiality in Blockchain-Driven Process Execution

• URL: http://arxiv.org/abs/2407.10684v1
• Date: Mon, 15 Jul 2024 12:59:54 GMT
• Title: MARTSIA: Safeguarding Data Confidentiality in Blockchain-Driven Process Execution
• Authors: Michele Kryston, Edoardo Marangone, Claudio Di Ciccio, Daniele Friolo, Eugenio Nerio Nemmi, Mattia Samory, Michele Spina, Daniele Venturi, Ingo Weber,
• Abstract summary: Multi-Authority Approach to Transaction Systems for Interoperating Applications (MARTSIA) MARTSIA provides read-access control at the message-part level through user-defined policies and certifier-declared attributes. MARTSIA resorts to encrypted, Multi-Authority Attribute-Based Encryption and distributed hash-table data-stores.
• Score: 6.26635837045368
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Blockchain technology streamlines multi-party collaborations in decentralized settings, especially where trust is limited. While public blockchains enhance transparency and reliability, they conflict with confidentiality. To address this, we introduce Multi-Authority Approach to Transaction Systems for Interoperating Applications (MARTSIA). MARTSIA provides read-access control at the message-part level through user-defined policies and certifier-declared attributes, so that only authorized actors can interpret encrypted data while all blockchain nodes can verify its integrity. To this end, MARTSIA resorts to blockchain, Multi-Authority Attribute-Based Encryption and distributed hash-table data-stores.

Related papers

• Trusted Compute Units: A Framework for Chained Verifiable Computations [41.94295877935867]
  This paper introduces the Trusted Compute Unit (TCU), a unifying framework that enables composable and interoperable computations across heterogeneous technologies. By enabling secure off-chain interactions without incurring on-chain confirmation delays or gas fees, TCUs significantly improve system performance and scalability.
  arXiv  Detail & Related papers  (2025-04-22T09:01:55Z)
• Balancing Confidentiality and Transparency for Blockchain-based Process-Aware Information Systems [46.404531555921906]
  We propose an architecture for blockchain-based PAISs aimed at preserving both confidentiality and transparency. Smart contracts enact, enforce and store public interactions, while attribute-based encryption techniques are adopted to specify access grants to confidential information.
  arXiv  Detail & Related papers  (2024-12-07T20:18:36Z)
• FL-DABE-BC: A Privacy-Enhanced, Decentralized Authentication, and Secure Communication for Federated Learning Framework with Decentralized Attribute-Based Encryption and Blockchain for IoT Scenarios [0.0]
  This study proposes an advanced Learning (FL) framework designed to enhance data privacy and security in IoT environments. We integrate Decentralized Attribute-Based Encryption (DABE), Homomorphic Encryption (HE), Secure Multi-Party Computation (SMPC) and technology. Unlike traditional FL, our framework enables secure, decentralized authentication and encryption directly on IoT devices.
  arXiv  Detail & Related papers  (2024-10-26T19:30:53Z)
• BlockFound: Customized blockchain foundation model for anomaly detection [47.04595143348698]
  BlockFound is a customized foundation model for anomaly blockchain transaction detection. We introduce a series of customized designs to model the unique data structure of blockchain transactions. BlockFound is the only method that successfully detects anomalous transactions on Solana with high accuracy.
  arXiv  Detail & Related papers  (2024-10-05T05:11:34Z)
• SPOQchain: Platform for Secure, Scalable, and Privacy-Preserving Supply Chain Tracing and Counterfeit Protection [46.68279506084277]
  This work proposes SPOQchain, a novel blockchain-based platform that provides comprehensive traceability and originality verification. It provides an analysis of privacy and security aspects, demonstrating the need and qualification of SPOQchain for the future of supply chain tracing.
  arXiv  Detail & Related papers  (2024-08-30T07:15:43Z)
• Self-Sovereign Identity for Consented and Content-Based Access to Medical Records using Blockchain [1.118478900782898]
  We propose a blockchain-based solution enabling secure exchange of EHRs between different parties powered by a self-sovereign identity wallet and decentralized identifiers. We grant users full control over their medical data, and enable them to securely share it in total confidentiality over secure communication channels.
  arXiv  Detail & Related papers  (2024-07-31T12:27:31Z)
• The Latency Price of Threshold Cryptosystem in Blockchains [52.359230560289745]
  We study the interplay between threshold cryptography and a class of blockchains that use Byzantine-fault tolerant (BFT) consensus protocols. Existing approaches for threshold cryptosystems introduce a latency overhead of at least one message delay for running the threshold cryptographic protocol. We propose a mechanism to eliminate this overhead for blockchain-native threshold cryptosystems with tight thresholds.
  arXiv  Detail & Related papers  (2024-07-16T20:53:04Z)
• Private Blockchain-based Procurement and Asset Management System with QR Code [0.0]
  The developed system aims to incorporate a private blockchain technology in the procurement process for the supply office. The procurement process includes the canvassing, purchasing, delivery and inspection of items, inventory, and disposal. The study recommends the use of private blockchain-based technology with the procurement and asset management system in the supply office.
  arXiv  Detail & Related papers  (2024-07-12T15:27:36Z)
• CAKE: Sharing Slices of Confidential Data on Blockchain [1.481195148653669]
  Control Access via Key Encryption (CAKE) designed to ensure data confidentiality in scenarios involving public blockchains. We showcase the application of CAKE in the context of a real-world cyber-security project within the logistics domain.
  arXiv  Detail & Related papers  (2024-05-07T09:44:04Z)
• Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning [51.13534069758711]
  Decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Federated Learning (FL) enables participants to collaboratively train models while safeguarding data privacy. This paper investigates the synergy between blockchain's security features and FL's privacy-preserving model training capabilities.
  arXiv  Detail & Related papers  (2024-03-28T07:08:26Z)
• The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption [43.669192188610964]
  Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated databases to an honest-but-curious server. This paper studies a new and practical security risk to DSSE, namely, secret key compromise. We introduce the notion of searchable encryption with key-update (SEKU) that provides users with the option of non-interactive key updates.
  arXiv  Detail & Related papers  (2024-03-22T09:21:47Z)
• Generative AI-enabled Blockchain Networks: Fundamentals, Applications, and Case Study [73.87110604150315]
  Generative Artificial Intelligence (GAI) has emerged as a promising solution to address challenges of blockchain technology. In this paper, we first introduce GAI techniques, outline their applications, and discuss existing solutions for integrating GAI into blockchains.
  arXiv  Detail & Related papers  (2024-01-28T10:46:17Z)
• Enabling Data Confidentiality with Public Blockchains [5.749927436954179]
  Multi-Authority Approach to Transaction Systems for Interoperating Applications (MARTSIA) MARTSIA enables read-access control over shared data at the level of message parts. Based on Multi-Authority Attribute-Based Encryption (MA-ABE), MARTSIA enables read-access control over shared data at the level of message parts.
  arXiv  Detail & Related papers  (2023-08-04T13:21:48Z)
• An Efficient and Multi-private Key Secure Aggregation for Federated Learning [41.29971745967693]
  We propose an efficient and multi-private key secure aggregation scheme for federated learning. Specifically, we skillfully modify the variant ElGamal encryption technique to achieve homomorphic addition operation. For the high dimensional deep model parameter, we introduce a super-increasing sequence to compress multi-dimensional data into 1-D.
  arXiv  Detail & Related papers  (2023-06-15T09:05:36Z)
• $π$QLB: A Privacy-preserving with Integrity-assuring Query Language for Blockchain [7.969423486948555]
  Current blockchain systems lack the support for querying data with embedded security and privacy guarantees. This paper proposes $pi$QLB, a query language for blockchain systems that ensures both confidentiality of query inputs and integrity of query results.
  arXiv  Detail & Related papers  (2022-12-29T01:12:47Z)
• Quantum-resistance in blockchain networks [46.63333997460008]
  This paper describes the work carried out by the Inter-American Development Bank, the IDB Lab, LACChain, Quantum Computing (CQC), and Tecnologico de Monterrey to identify and eliminate quantum threats in blockchain networks. The advent of quantum computing threatens internet protocols and blockchain networks because they utilize non-quantum resistant cryptographic algorithms.
  arXiv  Detail & Related papers  (2021-06-11T23:39:25Z)
• Framework for a DLT Based COVID-19 Passport [0.0]
  We describe a mechanism that allows one to store the COVID-19 vaccination details of individuals on a publicly readable, decentralised, immutable blockchain. Our main contribution is the employment of a provably secure input-hiding, locality-sensitive hashing algorithm over an iris extraction technique.
  arXiv  Detail & Related papers  (2020-08-03T18:28:19Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.