Data-sharing System Research Articles

Research on Government Data Sharing Mechanism Based on Smart Contracts

Exploring mechanisms for internal data sharing within government departments is important in advancing digital and intelligent society. This paper is based on the establishment of decentralized nodes on the external network of government departments, constructing a decentralized node, and establishing a government internal data sharing model based on blockchain. Subsequently, integrating attribute fields from government data into the shared model, accompanied by the formulation of data-sharing rules through smart contracts, serves to streamline the implementation of efficient and secure cross-validation mechanisms across diverse departments. Finally, this article concludes by conducting a model performance testing experiment, evaluating the model from three perspectives: storage cost, blockchain performance, and security analysis. The test results show that our model enhances the efficiency of querying and retrieving data within the government's internal data-sharing system, effectively addressing challenges such as low efficiency, high costs, and issues related to the security and real-time aspects of data sharing within the government. Overall, our article provides a new way of thinking about government data sharing.

A Comprehensive Review on Cardiovascular Disease Detection, Risk Assessment, And Treatment Using A Network Pharmacology Model

Introducing a new healthcare service based on study findings can be challenging. This review presents the outcomes of a pilot project implemented in Belgian neighborhood pharmacies, assessing the risk of diabetes and cardiovascular diseases. The service deployment followed an integrated approach using the RE-AIM (Reach Efficiency Acceptance Implantation Management) framework. The study highlights the development of a network of medications influencing cyclic guanosine monophosphate (cGMP), potentially causative for various cardiac diseases. It discusses the limited efficacy and crucial factors affecting optimal execution. It suggests exploring additional approaches like interprofessional seminars, a data-sharing system, and outreach efforts to enhance awareness of pharmacists' expanded roles. While the service is simple and practical, ensuring its effectiveness, sustainability, and broader adoption requires financial and external support.

Practical Byzantine Fault Tolerance-Enhanced Blockchain-Enabled Data Sharing System: Latency and Age of Data Package Analysis

Data timeliness, privacy, and security are key enablers for data-sharing systems to support time-sensitive and mission-critical systems and applications. While blockchain-enabled data sharing frameworks can offer reliable security and privacy when properly implemented, the timeliness of data and the related latency are important issues that can limit the adoption of blockchain in large-scale mission-critical applications. This paper thus carried out a performance analysis of the blockchain-enabled data-sharing framework from latency and data age perspectives to investigate the suitability of blockchain technology in data sharing systems. To achieve this, the uniqueness of such systems such as transactions validation latency, transaction generation rate, waiting time, blockchain-appending rate, and overall communication latency were jointly studied. The communication latency was characterized following the spatiotemporal modeling approach. We further adopted the practical Byzantine fault tolerance (PBFT) consensus protocol due to its well discussed suitability in large-scale data sharing applications and captured the validation stages of such a PBFT scheme using the Erlang distribution of order <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$k$</tex-math></inline-formula> . Simulations results show that various influential system parameters must be carefully considered when adopting blockchain technology in time-sensitive data sharing applications. This will guide the adoption of blockchain technology in various data sharing applications and systems.

Enhanced Cauchy Matrix Reed-Solomon Codes and Role-Based Cryptographic Data Access for Data Recovery and Security in Cloud Environment

In computer systems ensuring proper authorization is a significant challenge, particularly with the rise of open systems and dispersed platforms like the cloud. Role-Based Access Control (RBAC) has been widely adopted in cloud server applications due to its popularity and versatility. When granting authorization access to data stored in the cloud for collecting evidence against offenders, computer forensic investigations play a crucial role. As cloud service providers may not always be reliable, data confidentiality should be ensured within the system. Additionally, a proper revocation procedure is essential for managing users whose credentials have expired. With the increasing scale and distribution of storage systems, component failures have become more common, making fault tolerance a critical concern. In response to this, a secure data-sharing system has been developed, enabling secure key distribution and data sharing for dynamic groups using role-based access control and AES encryption technology. Data recovery involves storing duplicate data to withstand a certain level of data loss. To secure data across distributed systems, the erasure code method is employed. Erasure coding techniques, such as Reed-Solomon codes, have the potential to significantly reduce data storage costs while maintaining resilience against disk failures. In light of this, there is a growing interest from academia and the corporate world in developing innovative coding techniques for cloud storage systems. The research goal is to create a new coding scheme that enhances the efficiency of Reed-Solomon coding using the sophisticated Cauchy matrix to achieve fault tolerance

Improved Cauchy Reed-Solomon Codes for Cloud Data Retrieval and Secured Data Storage using Role-Based Cryptographic Access and forensic investigation

Doling out client consent strategies to PC frameworks presents a huge test in guaranteeing legitimate approval, especially with the development of open frameworks and scattered stages like the cloud. RBAC has turned into a broadly involved strategy in cloud server applications because of its versatility. Granting access to cloud-stored data for investigating potential wrongdoings is crucial in computer forensic investigations. In cases where the cloud service provider's reliability is questionable, maintaining data confidentiality and establishing an efficient procedure for revoking access upon credential expiration is essential. As storage systems expand across vast networks, frequent component failures require stronger fault tolerance measures. Our work secure data-sharing system combines role (Authorized) based access control and AES encryption technology to provide safe key distribution and data sharing for dynamic groups. Data recovery entails protecting data dispersed over distributed systems by storing duplicate data and applying the erasure code technique. Erasure coding strategies, like Reed-Solomon codes, guarantee disc failure robustness while cutting down on data storage expenses dramatically. They do, however, also result in longer access times and more expensive repairs. Consequently, there has been a great deal of interest in academic and business circles for the investigation of novel coding strategies for cloud storage systems. The objective of this study is to present a novel coding method that utilizes the intricate Cauchy matrix in order to improve Reed-Solomon coding efficiency and strengthen fault tolerance.

Use of a Data-Sharing System During Diabetes Consultations.

Patient-gathered self-management data and shared decision-making are touted as the answer to improving an individual's health situation as well as collaboration between patients and their providers leading to more effective treatment plans. However, there is a gap between this ideal and reality - a lack of data-sharing technology. Here, we present the impact that the FullFlow System for sharing patient-gathered data during diabetes consultations, had on the patient-provider relationship and consultation discussion.

A Survey on Unmet Need for Uniform Next-Generation Sequencing Reporting in India

Abstract Introduction: Next-generation sequencing (NGS) has paved the way for precision oncology in oncology clinics today. With rapidly advancing therapeutics, it is becoming increasingly important to obtain information about the molecular milieu of a patient's tumor. However, reporting and interpreting of NGS is fraught with complexity and variability. To understand the questions surrounding NGS reporting in India, we conducted a survey. Objectives: The aim of this study was to assess the gaps in NGS reporting and interpretation in Indian medical oncology clinics. Materials and Methods: An anonymized 10-question survey-based study among Indian medical oncologists through Google forms was conducted between October 4 and 8, 2022. Results: The sample size was n = 58. Seventy-one percent felt there was heterogeneity in NGS reporting, 72% were unaware of NGS reporting guidelines, and 62% did not feel the need for a molecular scientist assist in NGS interpretation. Almost all (98%) felt there was a need for uniform NGS reporting as well as an Indian NGS repository and data-sharing system (93%). Conclusion: Our survey highlights the need for a uniform national guideline concerning NGS reporting.

Remote support during cardiac implantable electrical device follow-up: preliminary experience in clinical practice

Abstract Funding Acknowledgements Type of funding sources: None. Background Industry employed allied professionals (IEAPs) traditionally provide technical assistance to physicians during cardiac implantable electrical device (CIED) implantation, programming, troubleshooting, and follow-up, by operating the programmers under the supervision of the physician. The Heart Connect™ application is a data-sharing system intended to provide physicians with the means to establish an online meeting and share the display of the LATITUDE™ Programmer (Boston Scientific) with IEAPs in a remote location. Purpose We describe the preliminary experience of remote IEAP support during CIED follow-up in clinical practice. Methods The Heart Connect™ software was downloaded on the programmer and network connection was established and tested using both Wi-Fi and a 4G cellular adapter at 3 Italian medical centers. External headset and webcam have been connected to the programmer. After system setup, the staff was trained on how to use the application, and online meetings were established with IEAPs of the Remote Clinical Support team during consecutive CIED follow-up visits. Data and users’ feedback were collected on the training provided, the quality of the remote connection, the support at each meeting. Results All the professionals trained in the use of the system judged the information received to be clear and adequate, and felt confident in using the system. Online meetings were established during 34 follow-up visits (12 pacemakers and CRT-P, 13 single- or dual-chamber ICD, 9 CRT-D). The remote connection was successfully established in all cases. In all cases the communication remained stable for the entire duration of the visit, except for 2 cases (connected via 4G) in which a loss of connection occurred (not restored in 1 case). The sound and video quality during two-way communication were rated good or excellent in 31 (91%) cases. The mean duration of the online meeting was 7±3 minutes. Routine CIED checks were performed during the visits: battery status, pacing and sensing thresholds, impedances, current rhythm diagnosis, arrhythmias detected and therapies delivered, device counters and review of programmed parameters, alerts and clinical diagnostics. Programming changes were done during 7 (21%) visits: pacing and sensing parameters, tachycardia detection and therapies. The remote support allowed to successfully complete the visit in 33 (97%) cases, without requiring additional medical or technical support. In all these cases, the support was judged to be equally effective compared to the on-site support, without causing delays or organizational difficulties. Conclusions Remote support during CIED follow-up using Heart Connect™ seems feasible, effective and well accepted. Additional tests are ongoing to demonstrate the potential usefulness of this solution in standard clinical practice, and in the context of restrictions on access to healthcare facilities due to COVID-19 pandemic.

Privacy-Preserving Medical Data-Sharing System with Symmetric Encryption Based on Blockchain

Nowadays, data between hospitals are usually not interoperable, which brings great inconvenience to medical data sharing and patients’ medical treatment. In addition, patients do not want their medical data to be leaked during the sharing process. Researchers have employed blockchain to build data-sharing systems to address these issues. However, current systems do not restrict the power of participants, nor do they prevent visitors from sharing the obtained data to unauthorized parties. To address these issues, we propose a private data-sharing system with symmetric encryption for the medical industry that implements power restriction and access control, and prevents the leakage of private data. To be specific, firstly, symmetric encryption algorithm is utilized to encrypt medical data to protect the privacy of data owner. Secondly, our proposed system is built on a new blockchain framework, in which only visitors with permission can access the medical data. Thirdly, we employ chameleon signature to prevent visitors from sharing data with other parties without permission. Finally, we make the power of participants in the system revocable to prevent them from abusing their power. Our proposed system has been proven to be secure through security analysis and can protect the privacy of patients. In addition, the experimental results show that our system has excellent performance in terms of time overhead compared to other systems.

Design and Optimization of Blockchain-Based Distributed Data-Sharing System for Urban Rail Transit

With the wide application of data-driven intelligence technology, the management efficiency and quality of urban rail transit improve considerably. However, due to data privacy and security protection, a large amount of data is still scattered among operators or rail transit departments in the form of data islands. The data barriers between urban rail departments severely hinder the intelligent development of urban rail transit systems. In this study, we design a distributed data-sharing system based on blockchain for urban rail transit system. Data production node in urban rail department, such as servers in data centers, wayside equipment, and onboard equipment, can share their data in a distributed way. Blockchain provides audit and check functions to guarantee data-sharing security. We explore the data-sharing incentive mechanism which has an impact on sharing willingness of data production nodes. To maximize the individual utility of nodes, we formulate an evolutionary game model for data nodes with bounded rationality to adapt their sharing strategies. The uniqueness and stability of the equilibrium of the game are also analyzed theoretically. Extensive experiments are conducted and illustrated that data production nodes can share their data efficiently and safely in our proposed data-sharing system. Our proposed evolutionary game model can determine the most effective data-sharing incentive mechanism.

A CLOUD-BASED INVASION DETECTION SYSTEM THAT USES SECURE HASHING METHODS

All industries have the same fundamental problem of insufficient defense, but today's adversaries are making significant efforts to penetrate these defenses in order to engage in illegal insider trading. They identify a wide variety of information theft conduits. Private details is more vulnerable to intrusion in the modern world. While there are numerous defenses against various forms of assault, hackers are always developing novel methods of breaching existing defenses. As a result, in this article, we attempted to create a novel approach that would be very resistant to such an assault. The suggested scheme includes the implementation of a hash map-based system for detecting intrusions. In this system, the item is hashed and then stored as a shared key. The safe transfer of data is a key issue nowadays. Users in the data-sharing system may encrypt their files using their own personal keys before uploading them. If a user leaks the key information, it becomes tough for the cloud provider maintain stay secure, making this attribute extremely crucial to any large-scale data sharing system. In this work, we provide a secure and efficient implementation of the technique, as well as a proof of its security. Many obstacles stand in the way of data owners when they want to make their data available through server or cloud storage. The issues may be addressed in a variety of ways. For the safe management of a shared key belonging to the data's owner, several methods are required. In this article, we'll discuss the concept of a trusted authority as a means of verifying the identities of cloud data users. The trusted authority will utilize the SHA algorithm to produce the key, and then distribute it to the user and the owner. To determine the hash value, the certified authority system utilizes the MD-5 method after receiving an AES-encrypted file from the data owner. It maintains a database with keys that may be accessed during dynamic operations and utilized to identify any cheaters inside the network (CSP or Owner). The CSP module stores files sent from the trusted authority in the cloud. It is shown that the generated key sets have many desired qualities that protect reliable communication from being snooped on by other the network's nodes. Key Words: Object, Hashing, Hash Map, Intrusion Detection System, Intrusion, Security.

Blockchain aware proxy re-encryption algorithm-based data sharing scheme

The blockchain stores transaction data in a distributed shared global ledger. It is challenging to strike a balance between privacy protection and usefulness while sharing data. Moreover, the dynamic adjustment of blockchain data access rights is a challenging problem. To this end, this paper suggests a blockchain data-controlled sharing scheme based on proxy re-encryption. First, a proxy re-encryption algorithm is constructed based on SM2 and the blockchain. Blockchain data sharing can give businesses a secure way to store and share data. Since this network is decentralized, and data is transmitted across a peer-to-peer network under the protection of an unchangeable cryptographic signature. Blockchain makes it more difficult to alter or hack the data. The data-controlled sharing scheme uses proxy re-encryption to protect transaction data privacy and realize data security sharing. Secondly, a dynamic adjustment mechanism for user rights is proposed. Blockchain nodes divide labor and manage re-encryption key parameters separately to achieve user access rights determinism Update, the visibility of transaction data is dynamically adjusted. Finally, the performance and security evaluation demonstrate that this scheme can realize the dynamic sharing of blockchain data while protecting transaction privacy and has advantages in computing overhead, which is better applicable to the Controlled sharing of blockchain data. This research suggests a regulated blockchain-based data-sharing system that makes use of proxy re-encryption. They are developing a proxy re-encryption algorithm with SM2 in order to fully safeguard the privacy of transaction data and to achieve data access authority determination by controlling proxy re-encryption key parameters. It is suggested to employ a hybrid attribute-based proxy re-encryption method that enables the proxy server to change attribute-encrypted cypher texts into identity-based encrypted cypher texts so that users with limited resources can access the previously encrypted material.

A Consent-Based Privacy-Compliant Personal Data-Sharing System

A Consent-Based Privacy-Compliant Personal Data-Sharing System

AnonChain: A Secure File Sharing Framework using IPFS Integrated Blockchain

Over the last decade, data sharing has become eminent in each aspect of the daily routine chores of industries and research alike. Traditionally, all data sharing platform depend on trusted third parties (TTP), owing to which they lack trust, security, immutability and transparency. But, with the advent of blockchain technology, the data sharing has got a whole new dimensionality. Blockchain is a distributed and decentralized ledger that records the source of a digital resources. The secure features of blockchain have helped it gain popularity and application in a variety of domains including sustainable manufacturing. It can aid in customer and product tracking, supply chain, quality checks, etc. Blockchain can further strengthen how products can be designed, engineered, manufactured, dispatched and tracked in the revolutionized Industry 4.0 initiative. All these activities involve sharing of voluminous data. Hence, this paper presents an efficient data-sharing system which takes the advantage of the transparency as well as the security provided by a blockchain. AnonChain (Anonymous Chain) is a file sharing platform that integrates Inter Planetary File Sharing (IPFS) with the blockchain technology to provide secure and anonymous file sharing.

Performance Analysis of Blockchain-Enabled Data-Sharing Scheme in Cloud-Edge Computing-Based IoT Networks

Blockchain and cloud-edge computing techniques are promising technologies for next-generation, secure, and privacy-preserving data-sharing systems. By integrating these technologies, the data demands of many data users, such as research institutes, hospitals, manufacturers, etc., can be met. Despite this promising integration, it is yet to be understood how the vulnerability and uncertainties of wireless communication links between the data producers, blockchain systems, cloud-edge computing-based platforms, and data users, as well as unstable validation parameters can affect the overall performance of such blockchain-enabled data-sharing systems. In this article, we considered a collaborative data-sharing scheme, where multiple data providers and data users collaborate to accomplish data-sharing tasks through the proposed blockchain and cloud-edge computing schemes. We considered the spatial distribution of data providers and data users to follow the independent homogeneous Poisson point process, while the transactions generation rate at each node was also modeled using an independent Bernoulli process. We then obtained analyses for some selected performance metrics of interest and evaluate the performance of the system. The obtained results showed that the proposed analyses can be useful in investigating the performance of any blockchain-enabled data-sharing system. This will aid successful deployments of effective data-sharing systems.

The Korean undiagnosed diseases program phase I: expansion of the nationwide network and the development of long-term infrastructure

BackgroundPhase I of the Korean Undiagnosed Diseases Program (KUDP), performed for 3 years, has been completed. The Phase I program aimed to solve the problem of undiagnosed patients throughout the country and develop infrastructure, including a data management system and functional core laboratory, for long-term translational research. Herein, we share the clinical experiences of the Phase I program and introduce the activities of the functional core laboratory and data management system.ResultsDuring the program (2018–2020), 458 patients were enrolled and classified into 3 groups according to the following criteria: (I) those with a specific clinical assessment which can be verified by direct testing (32 patients); (II) those with a disease group with genetic and phenotypic heterogeneity (353 patients); and (III) those with atypical presentations or diseases unknown to date (73 patients). All patients underwent individualized diagnostic processes based on the decision of an expert consortium. Confirmative diagnoses were obtained for 242 patients (52.8%). The diagnostic yield was different for each group: 81.3% for Group I, 53.3% for Group II, and 38.4% for Group III. Diagnoses were made by next-generation sequencing for 204 patients (84.3%) and other genetic testing for 35 patients (14.5%). Three patients (1.2%) were diagnosed with nongenetic disorders. The KUDP functional core laboratory, with a group of experts, organized a streamlined research pipeline covering various resources, including animal models, stem cells, structural modeling and metabolic and biochemical approaches. Regular data review was performed to screen for candidate genes among undiagnosed patients, and six different genes were identified for functional research. We also developed a web-based database system that supports clinical cohort management and provides a matchmaker exchange protocol based on a matchbox, likely to reinforce the nationwide clinical network and further international collaboration.ConclusionsThe KUDP evaluated the unmet needs of undiagnosed patients and established infrastructure for a data-sharing system and future functional research. The advancement of the KUDP may lead to sustainable bench-to-bedside research in Korea and contribute to ongoing international collaboration.

Blockchain-Based Electronic Medical Records System with Smart Contract and Consensus Algorithm in Cloud Environment

The blockchain is a peer-to-peer distributed ledger technology that works on the precept of “write-once-read-only.” In a blockchain, pieces of information are arranged in the form of blocks, and these blocks are linked together using the hash value of previous blocks. The blocks in a blockchain mechanism are appended only, which means that once information is stored in a block and it cannot be changed; no one tampers the block’s content. The traditional electronic medical records (EMRs) based system stores the patients’ information in a local database or server, which provides centralization of information, and traditional EMRs are more centric on the health providers. So, security and sharing of patients’ information are difficult tasks in the traditional EMR system. The blockchain mechanism has the potential to resolve these existing problems. Due to the appended-only-ledger principle and decentralization of blocks between the network participants, blockchain technology is suited to the EMR system. In this article, first, we discuss all the existing EMR systems and discuss their drawbacks. Keeping all the drawbacks in our mind, we propose a blockchain-based medical record system that utilizes clouding technology for storage purposes. Furthermore, we have designed a smart contract and consensus algorithm for our proposed EMR. Our system only uses a permissioned blockchain model so that only verified and authenticated users can generate their data and participate in the data-sharing system.

Standardised data on initiatives—STARDIT: Beta version

Background and objectiveThere is currently no standardised way to share information across disciplines about initiatives, including fields such as health, environment, basic science, manufacturing, media and international development. All problems, including complex global problems such as air pollution and pandemics require reliable data sharing between disciplines in order to respond effectively. Current reporting methods also lack information about the ways in which different people and organisations are involved in initiatives, making it difficult to collate and appraise data about the most effective ways to involve different people. The objective of STARDIT (Standardised Data on Initiatives) is to address current limitations and inconsistencies in sharing data about initiatives. The STARDIT system features standardised data reporting about initiatives, including who has been involved, what tasks they did, and any impacts observed. STARDIT was created to help everyone in the world find and understand information about collective human actions, which are referred to as ‘initiatives’. STARDIT enables multiple categories of data to be reported in a standardised way across disciplines, facilitating appraisal of initiatives and aiding synthesis of evidence for the most effective ways for people to be involved in initiatives. This article outlines progress to date on STARDIT; current usage; information about submitting reports; planned next steps and how anyone can become involved.MethodSTARDIT development is guided by participatory action research paradigms, and has been co-created with people from multiple disciplines and countries. Co-authors include cancer patients, people affected by rare diseases, health researchers, environmental researchers, economists, librarians and academic publishers. The co-authors also worked with Indigenous peoples from multiple countries and in partnership with an organisation working with Indigenous Australians.Results and discussionOver 100 people from multiple disciplines and countries have been involved in co-designing STARDIT since 2019. STARDIT is the first open access web-based data-sharing system which standardises the way that information about initiatives is reported across diverse fields and disciplines, including information about which tasks were done by which stakeholders. STARDIT is designed to work with existing data standards. STARDIT data will be released into the public domain (CC0) and integrated into Wikidata; it works across multiple languages and is both human and machine readable. Reports can be updated throughout the lifetime of an initiative, from planning to evaluation, allowing anyone to be involved in reporting impacts and outcomes. STARDIT is the first system that enables sharing of standardised data about initiatives across disciplines. A working Beta version was publicly released in February 2021 (ScienceforAll.World/STARDIT). Subsequently, STARDIT reports have been created for peer-reviewed research in multiple journals and multiple research projects, demonstrating the usability. In addition, organisations including Cochrane and Australian Genomics have created prospective reports outlining planned initiatives.ConclusionsSTARDIT can help create high-quality standardised information on initiatives trying to solve complex multidisciplinary global problems.

Industrial Chain Data Sharing and Circulation of Blockchain and Big Data Technology

In the era of big data, the value of data is infinite. With the development of the Internet of Things, everything is interconnected, and the sharing and circulation of data are particularly important. This paper was aimed at studying the data sharing system based on blockchain and big data technology. Based on blockchain and big data technology, this paper proposes a data-sharing system based on an HDFS file system. And it strengthens the security of data sharing based on blockchain technology, proposes a security key for industrial data, and greatly upgrades the security of data sharing. Experiments in this paper have proved that the data-sharing system in this paper has strong robustness, and choosing the appropriate k and n can take into account both the computational overhead and security, such as (3, 5), (5, 10), and (6, 10).

Efficient Data Sharing With Privacy Preservation Over Lattices for Secure Cloud Storage

Data sharing is a basic data processing mechanism in the cloud storage. Data confidentiality and the receiver privacy are two important requirements of data-sharing systems. Because the data owner does not wish anyone who is not authorized to access the shared data and the authenticated data receiver also does not wish anyone else to know that he/she has accessed the shared data from the data owner. Broadcast encryption gives a possible solution to these requirements of data-sharing systems. This article constructs a data-sharing system over lattice by designing an efficient identity-based broadcast encryption (IBBE) scheme which achieves the data confidentiality and the identity privacy simultaneously. Besides the data owner, no one knows the identities of the authenticated data receivers in the proposed data-sharing system. Data confidentiality is achieved by the indistinguishability under the selective identity and the chosen ciphertext attacks (IND-sID-CCA) of the proposed IBBE scheme. It is proven in the random oracle model that the IND-sID-CCA security is based on the hardness of the learning with errors problem which can resist the quantum attacks. Inherited from the proposed IBBE scheme, the proposed data-sharing system also has several other characters which are suitable to the practical application. The most important feature is that all the public parameters size, private key size, and the ciphertext length are constant for any data receivers set in the proposed system. Hence, the proposed system adapts to the situation of large receiver group. Moreover, the proposed data-sharing system supports efficient member joining. When a new user asks to access the uploaded data, the existing receiver does not need to update his/her private key. The decryption cost of the existing receiver will remain unchanged when the outsourced data have been updated. Detailed performance analysis and a simulated experiment of the designed core algorithm are given by using Java program on a personal computer Intel Core i7-8700 K (3.7 GHz), 32 G RAM which verifies the design results in this article.