Evault for legal records
- URL: http://arxiv.org/abs/2403.01186v2
- Date: Fri, 8 Mar 2024 09:24:31 GMT
- Title: Evault for legal records
- Abstract summary: Lawyers, judges, clients, and even registrars can effortlessly upload and retrieve legal documents, track changes, and share information within the platform.
This feature allows users to generate and securely store legal documents, streamlining the entire documentation process.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Innovative solution for addressing the challenges in the legal records
management system through a blockchain-based eVault platform. Our objective is
to create a secure, transparent, and accessible ecosystem that caters to the
needs of all stakeholders, including lawyers, judges, clients, and registrars.
First and foremost, our solution is built on a robust blockchain platform like
Ethereum harnessing the power of smart contracts to manage access, permissions,
and transactions effectively. This ensures the utmost security and transparency
in every interaction within the system. To make our eVault system
user-friendly, we've developed intuitive interfaces for all stakeholders.
Lawyers, judges, clients, and even registrars can effortlessly upload and
retrieve legal documents, track changes, and share information within the
platform. But that's not all; we've gone a step further by incorporating a
document creation and saving feature within our app and website. This feature
allows users to generate and securely store legal documents, streamlining the
entire documentation process.
Related papers
- CONFETTY: A Tool for Enforcement and Data Confidentiality on Blockchain-Based Processes [39.8807633060402]
This work presents the CONFETTY open-source web application, a platform for public-blockchain based process execution.<n>We use smart contracts to enact, enforce, and store public interactions.<n>We adopt attribute-based encryption techniques for fine-grained access to confidential information.
arXiv Detail & Related papers (2026-03-14T11:27:21Z) - Decentralized Infrastructure for Digital Notarizing, Signing and Sharing Files using Blockchain [0.0]
This thesis proposes a decentralized infrastructure for digital notarization, signing, and sharing of documents using blockchain technology.<n>By combining cryptographic techniques with decentralized storage, this research contributes to the development of a more secure and efficient framework for managing official documents.
arXiv Detail & Related papers (2026-01-20T12:34:30Z) - Implementing a Scalable, Redeployable and Multitiered Repository for FAIR and Secure Scientific Data Sharing: The BIG-MAP Archive [4.201349431355019]
Key technical challenges include creating a scalable architecture, a user-friendly interface, and robust security and access control.<n>The BIG-MAP Archive is a cloud-based, disciplinary, private repository designed to address these challenges.<n>This paper reviews the repository's key features, showing how the BIG-MAP Archive enables secure, controlled data sharing within large consortia.
arXiv Detail & Related papers (2025-12-17T14:15:10Z) - A Technical Policy Blueprint for Trustworthy Decentralized AI [29.298499284846844]
We propose a Technical Policy Blueprint that encodes governance requirements as policy-as-code objects.<n>We are proposing a Technical Policy Blueprint that separates asset policy verification from asset policy enforcement.
arXiv Detail & Related papers (2025-12-07T21:27:48Z) - How Blind and Low-Vision Users Manage Their Passwords [58.76726339294067]
This paper investigates how Blind and Low-Vision (BLV) users tackle password management.<n>We found that all participants utilize password managers to some extent, which they perceive as fairly accessible.<n>The security advantages - generating strong, random passwords - were avoided mainly due to the absence of practical accessibility.
arXiv Detail & Related papers (2025-10-15T13:33:45Z) - SilentLedger: Privacy-Preserving Auditing for Blockchains with Complete Non-Interactivity [38.520950743840785]
SilentLedger is a privacy-preserving transaction system with auditing and complete non-interactivity.<n>We formally prove security properties including authenticity, anonymity, confidentiality, and soundness.<n>Our implementation and benchmarks demonstrate that SilentLedger achieves superior performance compared with state-of-the-art solutions.
arXiv Detail & Related papers (2025-09-10T16:14:34Z) - Phantom Events: Demystifying the Issues of Log Forgery in Blockchain [31.570414211726888]
We present the first in-depth security analysis of transaction log forgery in EVM-based blockchains.<n>We propose a tool designed to detect event forgery vulnerabilities in smart contracts.<n>We have successfully identified real-world instances for all five types of attacks across multiple decentralized applications.
arXiv Detail & Related papers (2025-02-19T08:07:26Z) - 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) - Advocate -- Trustworthy Evidence in Cloud Systems [39.58317527488534]
The rapid evolution of cloud-native applications, characterized by dynamic, interconnected services, presents significant challenges for maintaining trustworthy and auditable systems.
Traditional methods of verification and certification are often inadequate due to the fast-past and dynamic development practices common in cloud computing.
This paper introduces Advocate, a novel agent-based system designed to generate verifiable evidence of cloud-native application operations.
arXiv Detail & Related papers (2024-10-17T12:09:26Z) - Block MedCare: Advancing healthcare through blockchain integration [0.0]
This paper investigates the integration of blockchain technology in healthcare.
It focuses on its potential to revolutionize Electronic Health Records (EHR) management and data sharing.
We propose a novel system that empowers patients to securely store and manage their medical data.
arXiv Detail & Related papers (2024-10-07T17:54:13Z) - FACOS: Enabling Privacy Protection Through Fine-Grained Access Control with On-chain and Off-chain System [11.901770945295391]
We propose a permissioned blockchain-based privacy-preserving fine-grained access control on-chain and off-chain system, namely FACOS.
Compared to similar work that only stores encrypted data in centralized or non-fault-tolerant IPFS systems, we enhanced off-chain data storage security and robustness.
arXiv Detail & Related papers (2024-06-06T02:23:12Z) - Federated Learning with Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach [20.74679353443655]
We introduce a framework that melds blockchain with federated learning, thereby ensuring an immutable record of unlearning requests and actions.
Our key contributions encompass a certification mechanism for the unlearning process, the enhancement of data security and privacy, and the optimization of data management.
arXiv Detail & Related papers (2024-05-27T04:35:49Z) - Blockchains for Internet of Things: Fundamentals, Applications, and Challenges [38.29453164670072]
Not every blockchain system is suitable for specific IoT applications.
Public blockchains are not suitable for storing sensitive data.
We explore the blockchain's application in three pivotal IoT areas: edge AI, communications, and healthcare.
arXiv Detail & Related papers (2024-05-08T04:25:57Z) - 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) - Privacy-Aware Document Visual Question Answering [44.82362488593259]
This work highlights privacy issues in state of the art multi-modal LLM models used for DocVQA.
We propose a large scale DocVQA dataset comprising invoice documents and associated questions and answers.
We demonstrate that non-private models tend to memorise, a behaviour that can lead to exposing private information.
arXiv Detail & Related papers (2023-12-15T06:30:55Z) - Tag Your Fish in the Broken Net: A Responsible Web Framework for
Protecting Online Privacy and Copyright [30.05760947688919]
This paper introduces a user-controlled consent tagging framework for online data.
With this framework, users have the ability to tag their online data at the time of transmission, and subsequently, they can track and request the withdrawal of consent for their data from the data holders.
arXiv Detail & Related papers (2023-10-11T21:56:16Z) - 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) - Blockchain-based Access Control for Secure Smart Industry Management
Systems [6.868660807136093]
Cloud computing technology has recently gained increasing attention in smart manufacturing systems.
Ensuring authorized access to the data is crucial in a cloud-based manufacturing system.
This paper proposes a role-based access control to prevent modification attacks by leveraging blockchain and smart contracts.
arXiv Detail & Related papers (2023-04-26T08:43:38Z) - Blockchain-Empowered Trustworthy Data Sharing: Fundamentals,
Applications, and Challenges [32.33334974604895]
Various data-sharing platforms have emerged with the growing public demand for open data and legislation mandating certain data to remain open.
Most of these platforms remain opaque, leading to many questions about data accuracy, provenance and lineage, privacy implications, consent management, and the lack of fair incentives for data providers.
With their transparency, immutability, non-repudiation, and decentralization properties, blockchains could not be more apt to answer these questions and enhance trust in a data-sharing platform.
arXiv Detail & Related papers (2023-03-12T02:56:52Z) - Secure access system using signature verification over tablet PC [62.21072852729544]
We describe a highly versatile and scalable prototype for Web-based secure access using signature verification.
The proposed architecture can be easily extended to work with different kinds of sensors and large-scale databases.
arXiv Detail & Related papers (2023-01-11T11:05:47Z) - Having your Privacy Cake and Eating it Too: Platform-supported Auditing
of Social Media Algorithms for Public Interest [70.02478301291264]
Social media platforms curate access to information and opportunities, and so play a critical role in shaping public discourse.
Prior studies have used black-box methods to show that these algorithms can lead to biased or discriminatory outcomes.
We propose a new method for platform-supported auditing that can meet the goals of the proposed legislation.
arXiv Detail & Related papers (2022-07-18T17:32:35Z) - Federated Learning for Open Banking [42.05232310057235]
In the near future, it is foreseeable to have decentralized data ownership in the finance sector using federated learning.
This chapter will discuss the possible challenges for applying federated learning in the context of open banking.
arXiv Detail & Related papers (2021-08-24T14:06:16Z)
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.