Scalable Data Notarization Leveraging Hybrid DLTs
- URL: http://arxiv.org/abs/2501.04571v1
- Date: Wed, 08 Jan 2025 15:40:22 GMT
- Title: Scalable Data Notarization Leveraging Hybrid DLTs
- Authors: Domenico Tortola, Claudio Felicioli, Andrea Canciani, Fabio Severino,
- Abstract summary: Notarization is a procedure that enhance data management by ensuring the authentication of data during audits.
Several blockchain-based data notarization protocols have been proposed in literature and commercial solutions.
We propose a novel approach utilizing a data structure designed to efficiently manage the trade-offs in terms of storage occupation and costs involved in notarizing a large collection of data.
- Score: 0.09999629695552192
- License:
- Abstract: Notarization is a procedure that enhance data management by ensuring the authentication of data during audits, thereby increasing trust in the audited data. Blockchain is frequently used as a secure, immutable, and transparent storage, contributing to make data notarization procedures more effective and trustable. Several blockchain-based data notarization protocols have been proposed in literature and commercial solutions. However, these implementations, whether on public or private blockchains, face inherent challenges: high fees on public blockchains and trust issues on private platforms, limiting the adoption of blockchains for data notarization or forcing several trade-offs. In this paper, we explore the use of hybrid blockchain architectures for data notarization, with a focus on scalability issues. Through the analysis of a real-world use case, the data notarization of product passports in supply chains, we propose a novel approach utilizing a data structure designed to efficiently manage the trade-offs in terms of storage occupation and costs involved in notarizing a large collection of data.
Related papers
- 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) - Smart Contract Coordinated Privacy Preserving Crowd-Sensing Campaigns [4.204990010424083]
Crowd-sensing has emerged as a powerful data retrieval model, enabling diverse applications by leveraging active user participation.
Traditional methods like data encryption and anonymization, while essential, may not fully address these issues.
This paper proposes a system utilizing smart contracts and blockchain technologies to manage crowd-sensing campaigns.
arXiv Detail & Related papers (2024-08-20T08:41:57Z) - 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) - Graph Attention Network-based Block Propagation with Optimal AoI and Reputation in Web 3.0 [59.94605620983965]
We design a Graph Attention Network (GAT)-based reliable block propagation optimization framework for blockchain-enabled Web 3.0.
To achieve the reliability of block propagation, we introduce a reputation mechanism based on the subjective logic model.
Considering that the GAT possesses the excellent ability to process graph-structured data, we utilize the GAT with reinforcement learning to obtain the optimal block propagation trajectory.
arXiv Detail & Related papers (2024-03-20T01:58:38Z) - Enhanced Security and Efficiency in Blockchain with Aggregated Zero-Knowledge Proof Mechanisms [15.034624246970154]
Current approaches to data verification in blockchain systems face challenges in terms of efficiency and computational overhead.
This study proposes an innovative aggregation scheme for Zero-Knowledge Proofs within the structure of Merkle Trees.
We develop a system that significantly reduces the size of the proof and the computational resources needed for its generation and verification.
arXiv Detail & Related papers (2024-02-06T09:26:46Z) - 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) - Second layer data governance for permissioned blockchains: the privacy
management challenge [58.720142291102135]
In pandemic situations, such as the COVID-19 and Ebola outbreak, the action related to sharing health data is crucial to avoid the massive infection and decrease the number of deaths.
In this sense, permissioned blockchain technology emerges to empower users to get their rights providing data ownership, transparency, and security through an immutable, unified, and distributed database ruled by smart contracts.
arXiv Detail & Related papers (2020-10-22T13:19:38Z) - BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data
Silos [73.84437456144994]
Contact tracing is an important method to control the spread of an infectious disease such as COVID-19.
Current solutions do not utilize the huge volume of data stored in business databases and individual digital devices.
We propose BeeTrace, a unified platform that breaks data silos and deploys state-of-the-art cryptographic protocols to guarantee privacy goals.
arXiv Detail & Related papers (2020-07-05T10:33:45Z) - Short Paper: Design and Evaluation of Privacy-preserved Supply Chain
System based on Public Blockchain [1.2495265936084994]
We propose a method for preserving privacy while securing traceability in a supply chain system using public blockchain (PBC)
The proposed method preserves privacy by concealing the distribution information via encryption.
We implement the proposed method on smart contracts and evaluate cost performance based on transaction fees.
arXiv Detail & Related papers (2020-04-16T11:30:39Z)
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.