scholarly journals Controlled Sharing Mechanism of Data Based on the Consortium Blockchain

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jin Li ◽  
Songqi Wu ◽  
Yundan Yang ◽  
Fenghui Duan ◽  
Hui Lu ◽  
...  
Keyword(s):  
Data Storage ◽  
Data Flow ◽  
Electric Energy ◽  
Electrical Energy ◽  
Data Access ◽  
Original Data ◽  
Third Party ◽  
Data Accessibility ◽  
Energy Data ◽  
Data Access Control

In the process of sharing data, the costless replication of electric energy data leads to the problem of uncontrolled data and the difficulty of third-party access verification. This paper proposes a controlled sharing mechanism of data based on the consortium blockchain. The data flow range is controlled by the data isolation mechanism between channels provided by the consortium blockchain by constructing a data storage consortium chain to achieve trusted data storage, combining attribute-based encryption to complete data access control and meet the demands for granular data accessibility control and secure sharing; the data flow transfer ledger is built to record the original data life cycle management and effectively record the data transfer process of each data controller. Taking the application scenario of electric energy data sharing as an example, the scheme is designed and simulated on the Linux system and Hyperledger Fabric. Experimental results have verified that the mechanism can effectively control the scope of access to electrical energy data and realize the control of the data by the data owner.

scholarly journals Platform for Integrating and Testing Tools which Transform Natural Language Queries into SPARQL Queries

2019 ◽  
Vol 17 (2) ◽  
pp. 138-152
Author(s):  
I. S. Postanogov ◽  
I. A. Turova
Keyword(s):  
Natural Language ◽  
Data Flow ◽  
Data Access ◽  
Building Blocks ◽  
Third Party ◽  
Flow Diagram ◽  
Graphical Form ◽  
Testing Tools ◽  
Party Transformation ◽  
The Individual

In the paper we discuss how to support the process of creating tools which transform natural language (NL) queries into SPARQL queries (hereinafter referred to as a transformation tool). In the introduction, we describe the relevance of the task of understanding natural language queries by information systems, as well as the advantages of using ontologies as a means of representing knowledge for solving this problem. This ontology-based data access approach can be also used in systems which provide natural language interface to databases. Based on the analysis of problems related to the integration and testing of existing transformation tools, as well as to support the creation and testing own transformation modules, the concept of a software platform that simplifies these tasks is proposed. The platform architecture satisfies the requirements for ease of connecting third party transformation tools, reusing individual modules, as well as integrating the resulting transformation tools into other systems, including testing systems. The building blocks of the created transformation systems are the individual transformation modules packaged in Docker containers. Program access to each module is carried out using gRPC. Modules loaded into the platform can be built into the transformation pipeline automatically or manually using the built-in third party SciVi data flow diagram editor. Compatibility of individual modules is controlled by automatic analysis of application programming interfaces. The resulting pipeline is combined according to specified data flow into a single multi-container application that can be integrated into other systems, as well as tested on extendable test suites. The expected and actual results of the query transformation are available for viewing in graphical form in the visualization tool developed earlier.

scholarly journals Enhanced Integrity Checking for Preserve Data Owner and User Level Privacy Using Dual Cryptography Approach

2019 ◽  
pp. 138-146
Author(s):  
Poovizhi. M ◽  
Raja. G
Keyword(s):  
Data Storage ◽  
Data Privacy ◽  
Capital Expenditure ◽  
Data Access ◽  
Third Party ◽  
Configurable Computing ◽  
Local Data ◽  
Cloud Data ◽  
On Demand ◽  
Integrity Checking

Using Cloud Storage, users can tenuously store their data and enjoy the on-demand great quality applications and facilities from a shared pool of configurable computing resources, without the problem of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in Cloud Computing a formidable task, especially for users with constrained dividing resources. From users’ perspective, including both individuals and IT systems, storing data remotely into the cloud in a flexible on-demand manner brings tempting benefits: relief of the burden for storage management, universal data access with independent geographical locations, and avoidance of capital expenditure on hardware, software, and personnel maintenances, etc. To securely introduce an effective Sanitizer and third party auditor (TPA), the following two fundamental requirements have to be met: 1) TPA should be able to capably audit the cloud data storage without demanding the local copy of data, and introduce no additional on-line burden to the cloud user; 2) The third party auditing process should take in no new vulnerabilities towards user data privacy. In this project, utilize and uniquely combine the public auditing protocols with double encryption approach to achieve the privacy-preserving public cloud data auditing system, which meets all integrity checking without any leakage of data. To support efficient handling of multiple auditing tasks, we further explore the technique of online signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. We can implement double encryption algorithm to encrypt the data twice and stored cloud server in Electronic Health Record applications.

scholarly journals The Cambridge Cognitive and Psychiatric Assessment Kit (CamCOPS): A Secure Open-Source Client–Server System for Mobile Research and Clinical Data Capture

2021 ◽  
Vol 12 ◽  
Author(s):  
Rudolf N. Cardinal ◽  
Martin Burchell
Keyword(s):  
Open Source ◽  
Data Storage ◽  
Data Entry ◽  
Data Access ◽  
Data Capture ◽  
Third Party ◽  
Record System ◽  
Client Server ◽  
Network Connection ◽  
Server System

CamCOPS is a free, open-source client–server system for secure data capture in the domain of psychiatry, psychology, and the clinical neurosciences. The client is a cross-platform C++ application, suitable for mobile and offline (disconnected) use. It allows touchscreen data entry by subjects/patients, researchers/clinicians, or both together. It implements a large and extensible range of tasks, from simple questionnaires to complex animated tasks. The client uses encrypted data storage and sends data via an encrypted network connection to a CamCOPS server. Individual institutional users set up and run their own CamCOPS server, so no data is transferred outside the hosting institution's control. The server, written in Python, provides clinically oriented and research-oriented views of tasks, including the tracking of changes over time. It provides an audit trail, export facilities (such as to an institution's primary electronic health record system), and full structured data access subject to authorization. A single CamCOPS server can support multiple research/clinical groups, each having its own identity policy (e.g., fully identifiable for clinical use; de-identified/pseudonymised for research use). Intellectual property rules regarding third-party tasks vary and CamCOPS has several mechanisms to support compliance, including for tasks that may be permitted to some institutions but not others. CamCOPS supports task scheduling and home testing via a simplified user interface. We describe the software, report local information governance approvals within part of the UK National Health Service, and describe illustrative clinical and research uses.

scholarly journals A formal pattern of information system design

2021 ◽  
Vol 2094 (3) ◽  
pp. 032045
Author(s):  
A Y Unger
Keyword(s):  
Information Systems ◽  
Data Storage ◽  
Application Programming Interface ◽  
Data Access ◽  
Server Side ◽  
Data Access Control ◽  
Independent Information ◽  
Application Logic ◽  
Application Programming ◽  
Client Side

Abstract A new design pattern intended for distributed cloud-based information systems is proposed. Pattern is based on the traditional client-server architecture. The server side is divided into three principal components: data storage, application server and cache server. Each component can be used to deploy parts of several independent information systems, thus realizing shared-resource approach. A strategy of separation of competencies between the client and the server is proposed. The strategy assumes that the client side is responsible for application logic and the server side is responsible for data storage consistency and data access control. Data protection is ensured by means of two particular approaches: at the entity level and at the transaction level. The application programming interface to access data is presented at the level of identified transaction descriptors.

scholarly journals Secure Content De-Duplication Utilizing Efficient Content Discovery and Preserving De-Duplication (Ecdpd)

2019 ◽  
Vol 8 (12S) ◽  
pp. 986-990
Keyword(s):  
Access Control ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Data Access ◽  
Data File ◽  
Data Deduplication ◽  
Efficient Technology ◽  
Data Access Control ◽  
Content Discovery

Cloud computing, an efficient technology that utilizes huge amount of data file storage with security. However, the content owner does not controlling data access for unauthorized clients and does not control data storage and usage of data. Some previous approaches data access control to help data de-duplication concurrently for cloud storage system. Encrypted data for cloud storage is not effectively handled by current industrial de-duplication solutions. The deduplication is unguarded from brute-force attacks and fails in supporting control of data access .An efficient data confining technique that eliminates redundant data’s multiple copies which is commonly used is Data-Deduplication. It reduces the space needed to store these data and thus bandwidth is saved. An efficient content discovery and preserving De-duplication (ECDPD) algorithm that detects client file range and block range of de-duplication in storing data files in the cloud storage system was proposed to overpower the above problems.Data access control is supported by ECDPD actively. Based on Experimental evaluations, proposed ECDPD method reduces 3.802 milliseconds of DUT (Data Uploading Time) and 3.318 milliseconds of DDT (Data Downloading Time) compared than existing approaches

Data Access Control on Clouds

2014 ◽  
Vol 556-562 ◽  
pp. 6275-6280
Author(s):  
Yan Jiao Zang ◽  
Yong Bin Wang ◽  
Qi Wang
Keyword(s):  
Cloud Computing ◽  
Network Security ◽  
Access Control ◽  
Data Storage ◽  
Data Access ◽  
Control Methods ◽  
Data Access Control ◽  
Security Problem

As the cloud computing is becoming increasingly popular, more enterprise and individuals tend to use cloud to store data. As a convenient way of data storage, however, the network security became the greatest concern to all kinds of users. In terms of the security problem, three different approaches are introduced to deal with this problem in this paper. And the performance, load and security of these data access control methods will be discussed in detailed.

scholarly journals Replica Dissemination and Update Strategies in Cluster-Based Mobile Ad Hoc Networks

2006 ◽  
Vol 2 (4) ◽  
pp. 193-209 ◽  
Author(s):  
Mieso K. Denko ◽  
Hua Lu
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Ad Hoc ◽  
Data Access ◽  
Reliable Data ◽  
Data Consistency ◽  
Data Accessibility ◽  
Message Queue ◽  
Replica Allocation ◽  
Mobile Ad Hoc

A mobile ad hoc network (MANET) is a collection of wireless mobile nodes that forms a temporary network without the aid of a fixed communication infrastructure. Since every node can be mobile and network topology changes can occur frequently, node disconnection is a common mode of operation in MANETs. Providing reliable data access and message delivery is a challenge in this dynamic network environment. Caching and replica allocation within the network can improve data accessibility by storing the data and accessing them locally. However, maintaining data consistency among replicas becomes a challenging problem. Hence, balancing data accessibility and consistency is an important step toward data management in MANETs. In this paper, we propose a replica-based data-storage mechanism and undelivered-message queue schemes to provide reliable data storage and dissemination. We also propose replica update strategies to maintain data consistency while improving data accessibility. These solutions are based on a clustered MANET where nodes in the network are divided into small groups that are suitable for localized data management. The goal is to reduce communication overhead, support localized computation, and enhance scalability. A simulation environment was built using an NS-2 network simulator to evaluate the performance of the proposed schemes. The results show that our schemes distribute replicas effectively, provide high data accessibility rates and maintain consistency.

Capability Based Outsourced Data Access Control with Assured File Deletion and Efficient Revocation with Trust Factor in Cloud Computing

2020 ◽  
Vol 10 (1) ◽  
pp. 64-84 ◽  
Author(s):  
Shweta Kaushik ◽  
Charu Gandhi
Keyword(s):  
Cloud Computing ◽  
Access Control ◽  
Data Access ◽  
Third Party ◽  
Data Outsourcing ◽  
Sensitive Data ◽  
Authorized User ◽  
Data Access Control ◽  
Commodity Clusters ◽  
Cryptographic Techniques

Cloud computing has introduced a paradigm which support data outsourcing to third parties for processing using commodity clusters. It allows the owner to outsource sensitive data and share it with the authorized user while reducing the computation and management cost. Since owners store sensitive data over the cloud, the requirements of access control and data security have also been increasing. To alleviate all the problem requirements, the need has arisen for providing a safe, secure, and sound model. The existing solutions for these problems use pure cryptographic techniques, which increases the computation cost. In this article, the security problems are solved by using a trusted third party and a quorum of key managers. A service provider is responsible for capability-based access control to ensure that only authorized users will be able to access the data. Whenever any data revocation is required, the data owner simply updates this information to the master key manager to revoke a specific number of shares. The model for the proposed work has been presented and its analysis shows how it introduces security features.

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