Block chain-based Database Systems by using WSM Method

The innovation that has had the best effect on our ways of life in the course of the most recent decade is Blockchain. The key feature of blockchain is the secure storage of data in encrypted block chains that have a distributed database that processes a growing list of transactions. This makes the blockchain incredibly impervious to unapproved changes to put away information. In this paper, the study to get a brief idea about the platforms of blockchain and explore what exactly is Hyperledger Fabric and also understand the steps of working with Hyperledger fabric and Hyperledger Composer. While hyperledger composer is a set of tools, APIs for modeling, building and distributing a blockchain corporate network. The Hyperledger fabric is an implementation of the blockchain framework for developing solutions with a modular architecture. The composer runs on hyperledger fabric. It is a framework to accelerate the development of applications based on Hyperledger Fabric.To create a Simple Commodity Blockchain with Hyperledger Composer.

Blockchain technology has been regarded as a paradigm that enables enterprises to deploy decentralized Internet of things (IoT) applications, which require security, mutual truthfulness, privacy, and data reliability. However, the adoption of blockchain technology on IoT applications has been limited due to the lack of blockchain's capability to process a huge amount of transaction requests from IoT devices. In this paper, we propose a new transaction processing mechanism, called Accelerator, which improves the performance of blockchain-based IoT applications in terms of transaction throughput and latency. Two key design ideas of Accelerator lie in: (i) independent modular structure that can be implemented without changing the incumbent blockchain network and (ii) adaptive multi-batch scheduling engine for robust performance. We first provide a mathematical analysis that is used to choose the parameters of Accelerator to maximize the performance. Moreover, we implement Accelerator on a decentralized blockchain network using Hyperledger Fabric and perform the extensive test using Hyperledger Caliper. We show that Accelerator achieves 8x transaction throughput improvement without sacrificing latency.

This study explores the transformative impact of blockchain technology on data integrity and security in digital environments. Through a comprehensive assessment of data integrity metrics across prominent blockchain networks, including Bitcoin, Ethereum, and Hyperledger Fabric, we unveil nuanced differences in immutability and reliability. Our security analysis delves into the cryptographic strength and resistance to unauthorized access, showcasing the outstanding security features of Hyperledger Fabric and Bitcoin, with Ethereum exhibiting commendable yet moderate security levels. The discussions underscore the multifaceted nature of blockchain technology, emphasizing the importance of selecting a platform aligned with specific use cases. Hyperledger Fabric and Bitcoin emerge as strong contenders for applications requiring high integrity and robust security, while Ethereum offers a reliable but moderate alternative. As blockchain technology continues to evolve, this study provides valuable insights for practitioners and researchers, guiding the strategic selection of blockchain platforms to harness their transformative potential in diverse digital environments.

Purpose: The purpose of this research is to design and implement a secure, transparent, and tamper-proof attendance management system using blockchain technology, specifically leveraging Hyperledger Fabric 2.5 deployed on Ubuntu 24.04. The paper aims to demonstrate how blockchain can efficiently replace traditional attendance systems by providing enhanced reliability, integrity, and auditability. Through practical implementation, the study evaluates performance, ease of use, and scalability, offering insights into blockchain's applicability in educational institutions and workplaces to mitigate common issues associated with traditional attendance tracking methods, such as data tampering, inefficiency, and lack of trust. Methodology: The methodology involves deploying a blockchain-based attendance system using Hyperledger Fabric 2.5 on Ubuntu 24.04. It includes requirements analysis, blockchain network setup, smart contract (chain code) development, and frontend-backend integration using React.js and Node.js. This is followed by rigorous functional and performance testing to ensure transparency, security, scalability, and overall system robustness. Result/Analysis: The analysis of the blockchain-based attendance system demonstrated significant improvements in data security, transparency, and efficiency compared to traditional attendance methods. Transactions executed reliably, achieving an average throughput of approximately 200 transactions per second with minimal latency, validating the scalability of Hyperledger Fabric 2.5 on Ubuntu 24.04. The use of cryptographic certificates ensured robust security, preventing unauthorized access and data manipulation. Additionally, integration of a React.js frontend provided user-friendly interaction, enhancing usability. Performance tests confirmed efficient resource utilization, maintaining stable CPU and memory consumption under varying workloads. Overall, results indicate the system's feasibility for reliable, secure, and scalable attendance management. Originality/Values: This study uniquely integrates Hyperledger Fabric 2.5 with Ubuntu 24.04, creating a practical, secure, and transparent blockchain-based attendance solution. Its originality lies in demonstrating real-world applicability, comprehensive performance evaluation, and detailed system integration insights, contributing valuable knowledge for institutions seeking innovative, decentralized, and efficient alternatives to traditional attendance tracking systems. Type of Research: Experimental-based Research.

This all-encompassing strategy for improving the pharmaceutical supply chain management process places a strong emphasis on responsibility, transparency, and traceability. Role-based access control, secure hashing algorithms, and blockchain (Hyperledger Fabric) technologies work together to reduce the risk of counterfeit medications and guarantee accurate drug monitoring. In a drug traceability system made possible by blockchain technology, every participant in a supply chain is assigned a unique identity and has access to a shared, decentralized database that follows the transit of pharmaceuticals along the supply chain. To ensure data security and integrity, MedGuard uses the SHA-256 hashing technique for data validation and the PBFT (Practical Byzantine Fault Tolerance) consensus algorithm for network node consensus. To maintain the integrity and security of the data, each participant is only permitted to add new records to the database; they are not permitted to edit or remove alreadyexisting records. All things considered, a blockchain-based drug traceability system might greatly improve the quality and safety of pharmaceutical products and help protect patients and the public from the risks associated with fake or tainted drugs. The complete solution is currently accessible as the “MedGuard” online application.”

Performance comparison of permissioned and permissionless blockchain by varying workload transaction

The block chain has many unique characteristics, like decentralization, stability, openness and transparency. We can apply block chain in many fields of railway to improve the comprehensive efficiency and benefit, such as railway passenger and freight service, engineering construction, big data sharing and so on. With the gradual completion of data service platform, big data lake and cloud computing in China Railway, these foundations can support the railway block chain application. The paper analyzed the development status and existing problems of block chain at home and abroad. Through the multidimensional analysis for the mainstream block chain platform architecture, the thesis gets the architecture selection of the railway block chain platform. Based on the hyperledger fabric, we propose the technical architecture and overall scheme for the railway block chain service platform respectively. The paper also designs the implementation path for the platform application construction. This research plays an important role and significance in promoting the block chain technology applying and developing in the railway field.

Centralized database-based applications are frequently susceptible to internal threats. The data stored in a relational database can be changed by any user who has administrative access to the hosting server or database system. Moreover, this kind of user may alter the associated log files, which would make it very challenging to identify any illegal alteration. It would also be difficult to attribute the assault to privileged users as well. In this study, we propose a solution to build a service on the context of student score management based on Blockchain technology. A database system based on the Blockchain platform along with accompanying services is built to allow storage and query of student learning outcomes. The database security system operates in parallel with the current system while still ensuring transparency, security and integrity of data. We develop a verification module that uses Blockchain to verify the integrity of the corresponding tuples and identify any unwanted modifications. Oracle database, RESTful API, and Hyperledger Fabric have all been used in the implementation of our method. Our findings show that the overhead of integrity checking remains constant per tuple in the results of a query and increases linearly using real data and SQL queries of different types and complexity.

Blockchain technologies are taking the world by storm. Public blockchains, such as Bitcoin and Ethereum, enable secure peer-to-peer applications like crypto-currency or smart contracts. Their security and performance are well studied. This paper concerns recent private blockchain systems designed with stronger security (trust) assumption and performance requirement. These systems target and aim to disrupt applications which have so far been implemented on top of database systems, for example banking, finance and trading applications. Multiple platforms for private blockchains are being actively developed and fine tuned. However, there is a clear lack of a systematic framework with which different systems can be analyzed and compared against each other. Such a framework can be used to assess blockchains' viability as another distributed data processing platform, while helping developers to identify bottlenecks and accordingly improve their platforms. In this paper, we first describe BLOCKBENCH, the first evaluation framework for analyzing private blockchains. It serves as a fair means of comparison for different platforms and enables deeper understanding of different system design choices. Any private blockchain can be integrated to BLOCKBENCH via simple APIs and benchmarked against workloads that are based on real and synthetic smart contracts. BLOCKBENCH measures overall and component-wise performance in terms of throughput, latency, scalability and fault-tolerance. Next, we use BLOCKBENCH to conduct comprehensive evaluation of three major private blockchains: Ethereum, Parity and Hyperledger Fabric. The results demonstrate that these systems are still far from displacing current database systems in traditional data processing workloads. Furthermore, there are gaps in performance among the three systems which are attributed to the design choices at different layers of the blockchain's software stack. We have released BLOCKBENCH for public use.

Background: In most healthcare facilities, the shift from paper-based medical records to electronic health records (EHRs) has taken place. However, there are issues with credibility, management, and secure data storage with the existing EHR systems. In the healthcare industry, interoperability and user control over personal data are also major challenges. Block chain technology has become a potent tool that can provide immutability, security, and user control over records that are saved; yet, its potential usage in EHR systems is still not well understood. Objectives: This research attempts to close this knowledge gap by developing an EHR framework that is built on blockchain technology and is compatible with many national and international EHR standards, including HL7 and HIPAA. Methods: In order to investigate the state of the art in the field of EHRs, including blockchain-based EHR implementations, a systematic literature review is the study approach used. Results: The report analyzes numerous national and international EHR standards, identifies the interoperability needs based on these standards, and outlines the interoperability challenges in the current blockchain-based EHR frameworks. Without the requirement for centralized systems, the suggested framework can give the healthcare industry safer ways to exchange health information while also offering the features of immutability, security, and user control over stored records. Conclusion: This work contributes to the understanding of Blockchain technology's potential application in EHR frameworks and offers an interoperable Blockchain-based EHR framework that can meet the requirements outlined in multiple national and international EHR standards.

Career management in a global company with employees from various countries is a strategic process that manages, develops, and facilitates the professional growth of employees in a multinational environment. This process involves career planning, competency development, and adjustment to cultural and regulatory diversity in various jurisdictions. The diversity of employees from several different countries impacts the competition to fill specific positions, so transparency about employee career paths in the company is needed. Currently, no system supports career management in global companies that provides transparency of employee career paths, so employees do not know the certainty of their careers in the company. The purpose of this research is to develop a blockchain sharding model for a global company that ensures transparency in the career paths of employees from various countries. By implementing blockchain technology, every transaction related to the career paths of employees from several countries will be validated by each node on the blockchain network. Blockchain technology applies peer-to-peer validation to each transaction before storing it on the blockchain network. This research selects blockchain sharding to enhance the efficiency of the validation process, which spans multiple countries. The study employs a qualitative approach that includes a literature review and software simulation using Hyperledger Fabric. Research results show that blockchain technology can increase the transparency of information about employee career levels.

Even in the twenty-first century, gender bias and other forms of discrimination in the workplace have been a concern. Women, persons of color, and other minorities sometimes have trouble getting a callback from recruiters or finding employment. By providing opportunities for them, diversity and inclusion contribute to the advancement of many social groupings. A diverse workforce also boosts the company’s productivity and performance significantly, and improves the economy. At an organizational level, we can undoubtedly eradicate these biases even though doing so on a personal level is challenging. Block chain is a young technology that holds the potential to solve this problem. Block chain is a decentralized, immutable database that makes it easier to track assets and record transactions in a corporate network. This shared ledger eliminates the duplication of effort that is typical of conventional corporate networks by simply recording transactions once. Because all network paiticipants must agree that the data is accurate, block chain offers higher security. It is possible to create a block chain-based employment platform where each candidate has their own unique identity, eliminating the possibility of biases and allowing candidates to be evaluated only on their qualifications, and this is what this study seeks to do, despite the wide adoption of block-chain today very few researches are investigating its potential impact on the hiring industry, a gap this paper seeks to fill. In this study we practically designed a block chain based hiring platform that is discreet and deliberately skewed it to hinder hiring based on gender and other discriminatory factors, we went ahead to conduct an altcorrespondence testing of the platform with recruiters using the block-chain based platform and a react based hiring platform. Our methodology allowed us access to the internal decision processes which most researchers are not aware of, and we could see how the type of underlying technology (In this case blockchain)platform influenced the decision of the recruiters.

According to the World Health Organization worldwide diabetes report, the number of diabetic patients has surged from 108 million in the 1980s to 422 million in 2014. According to researchers, the numbers will continue to climb in the next decades. Diabetes is a sickness that requires long-term self-care and close monitoring to be appropriately put under control. As a result, continuous monitoring of blood sugar levels has the potential to save millions of lives. This paper proposes a Blockchain-based platform that connects the patients, healthcare practitioners (HP), and caregivers for a continuous monitoring and care ofdiabetic patients. It lets the patients to securely connected to HP for the purpose of remote patient monitoring (telemedicine), whilst preserving patient data privacy using the blockchain technology. IoT sensors are used to read sugar levels and store these data in a tamper-proof immutable ledger (Hyperledger). This platform provides an End-to-End movement of the patient's data. That is, from the point where it is formed (sensors) to the point it ends up in the HP side. It gives patient a control-and-track function to maintain/track data movement. It provides a unique feature in allowing the patient to keep track of the private data and to pick who they want to share the data with and for how long (and for what reason). The platform is developed in two stages. Initially, the concept is implemented using the Hyperledger Fabric. Then, a Blockchain based on a novel Proof-of-Review (PoR) consensus model is included on to provide efficient performance and scalability in the Hyperledger fabric. Essentially, this proposed platform is to alleviate the pain points in traditional healthcare systems in the scopes of information exchange, data security, and privacy maintenance for real-time diabetic patient monitoring.

Blockchain technology is widely used in finance, supply chains, energy exchange, etc. To keep data immutable, all peers in blockchain must store the whole copy of the ledger data. With the growth of transaction volume, the storage burden of each peer increases. To solve the storage scalability issues, we propose a scheme called xFabLedger, which strips ledger storage from peers when using Hyperledger Fabric. The ledger data are separated from the peer and stored on a remote database, so a lightweight peer is conducted. The Vector Commitment (VC) is adopted to keep the integrity of remote data for peers. On the remote database, only one copy of ledger data should be retained. We integrate our solution into Hyperledger Fabric V2.2 and confirm its feasibility.

Blockchain technology is a forefront innovation that drives multi-user data accessibility with patient ownership, traceability, transparency, security, and privacy protection. However, optimizing blockchain latency and its relationship with security remains underexplored in health data management. This study aims to optimize security and latency in healthcare data management through a novel Blockchain-based framework. The objectives include: (1) developing an innovative EMR management architecture that integrates key stakeholders using Blockchain and smart contracts, (2)creating a multi-objective optimization model for Hyperledger Fabric Blockchain in medical health management, and (3)implementing and evaluating advanced optimization techniques using block Size and consensusLevels as key decision variables. This study bridges the gap by proposing a novel methodology that integrates the Hyperledger Fabric framework with smart contracts to optimize security and storage in health data systems. A key contribution of this research is the development of a multi-objective optimization model employing two advanced non-dominated sorting genetic algorithms, NSGA-II and NSGA-III, to configure system parameters such as blockSize and consensusLevels. Evaluation results show that NSGA-II outperforms NSGA-III, achieving 50% higher Hyper-volume and five distinct non-dominated solutions compared to two, demonstrating its superior ability to balance conflicting objectives and provide optimal configurations. The proposed framework tackles critical challenges in health data interoperability, privacy, and security while ensuring robust, patient-centric data management. By enabling multi-user access, enhanced security, and optimized storage, this work advances Blockchain’s role in healthcare and positions the industry for the Digital Health era. Future work will expand objectives and enable real-time deployment.