Integration Of Blockchain Research Articles

Blockchain-Powered Lotteries - Unveiling the Mechanics of Fairness and Security

The integration of blockchain technology into lottery systems marks a significant shift in the pursuit of fairness and security. This research project delves into the intricacies of implementing blockchain in lotteries, focusing on understanding how technological innovations interact with fundamental principles of fairness and security. In our exploration, the literature review lays the groundwork by examining traditional lottery systems and past attempts to address inherent challenges. Through a critical analysis of existing research on blockchain in lotteries, we identify gaps and opportunities for improvement. The methodology then details our research design, the selection of a suitable blockchain framework, and the meticulous design of smart contracts integrated with robust randomness mechanisms. Moving on to the implementation phase, we discuss the development environment, tools used, and the seamless integration of blockchain into existing lottery infrastructures. Results and findings provide a comprehensive analysis of blockchain-powered lottery transactions, evaluating fairness, security, and overall system performance. A comparative study against traditional systems offers valuable insights, shedding light on potential advantages and challenges. A critical analysis scrutinizes the implementation against predefined objectives, identifying strengths and weaknesses, and addressing potential risks. Looking towards the future, we discuss opportunities for improvement, scalability solutions, regulatory considerations, and potential collaborations. Keywords—Blockchain, Lotteries, Fairness, Security, Smart Contracts.

ECONOMIC THEORY AND PRACTICAL IMPACTS OF DIGITAL TRANSFORMATION IN SUPPLY CHAIN OPTIMIZATION

Digital transformation has emerged as a critical driver of innovation and efficiency in supply chain management, reshaping traditional economic paradigms and yielding profound practical implications. This paper delves into the economic theory underpinning digital transformation in supply chain optimization and explores its practical impacts on businesses and industries. In terms of economic theory, we examine the evolution from traditional supply chain models to digitally-enabled ecosystems. The integration of digital technologies such as big data analytics, artificial intelligence, and blockchain revolutionizes supply chain dynamics, enhancing efficiency, reducing costs, and mitigating risks. Drawing on game theory applications, we elucidate strategic interactions among supply chain stakeholders and the implications of digital transformation on their decision-making processes. Turning to practical impacts, we investigate how digital transformation enables enhanced visibility, real-time tracking, and predictive analytics, fostering agility and responsiveness in supply chain operations. Automation and AI-driven insights empower decision-makers to optimize resource allocation and mitigate disruptions effectively. Through case studies, we illustrate the tangible benefits and strategic advantages accrued by organizations embracing digital transformation. However, this transformation is not devoid of challenges. Cybersecurity threats, data privacy concerns, and the integration complexities of legacy systems pose significant hurdles. Addressing these challenges necessitates a holistic approach encompassing technological innovation, regulatory frameworks, and workforce development. Looking ahead, future trends such as blockchain integration, IoT applications, and sustainability initiatives promise further advancements in supply chain optimization. This paper underscores the imperative for ongoing research and adaptation to harness the full potential of digital transformation in reshaping the future of supply chain management. Keywords: Economic Theory, Practical Impacts, Digital Transformation, Supply Chain Optimization.

Blockchain integration in healthcare: a comprehensive investigation of use cases, performance issues, and mitigation strategies.

Healthcare is a critical area where blockchain technology (BT) is being heralded as a potential game-changer for facilitating secure and efficient data sharing. The purpose of this review is to examine BT applications, performance challenges, and solutions in healthcare. To begin, This review paper explores popular blockchain networks for data exchange, encompassing both public and permissioned platforms, such as Ethereum and Hyperledger Fabric. This paper analyzes the potential applications of BT's decentralized, immutable, and smart contract capabilities in healthcare settings, including secure and interoperable health data exchange, patient consent management, drug supply chain oversight, and clinical trial management. The healthcare industry might greatly benefit from the increased privacy, transparency, and accessibility that these technologies provide. Despite BT's promising medical uses, the technology is not without its drawbacks. High energy consumption, throughput, and scalability are all concerns. We wrapped up by discussing the solutions that have been implemented, including consensus processes, scalability measures like sharding, and off-chain transactions that are designed to mitigate the drawbacks.

Blockchain Integration and Its Impact on Renewable Energy

This paper investigates the evolving landscape of blockchain technology in renewable energy. The study, based on a Scopus database search on 21 February 2024, reveals a growing trend in scholarly output, predominantly in engineering, energy, and computer science. The diverse range of source types and global contributions, led by China, reflects the interdisciplinary nature of this field. This comprehensive review delves into 33 research papers, examining the integration of blockchain in renewable energy systems, encompassing decentralized power dispatching, certificate trading, alternative energy selection, and management in applications like intelligent transportation systems and microgrids. The papers employ theoretical concepts such as decentralized power dispatching models and permissioned blockchains, utilizing methodologies involving advanced algorithms, consensus mechanisms, and smart contracts to enhance efficiency, security, and transparency. The findings suggest that blockchain integration can reduce costs, increase renewable source utilization, and optimize energy management. Despite these advantages, challenges including uncertainties, privacy concerns, scalability issues, and energy consumption are identified, alongside legal and regulatory compliance and market acceptance hurdles. Overcoming resistance to change and building trust in blockchain-based systems are crucial for successful adoption, emphasizing the need for collaborative efforts among industry stakeholders, regulators, and technology developers to unlock the full potential of blockchains in renewable energy integration.

Advancing Drone Operations through Lightweight Blockchain and Fog Computing Integration: A Systematic Review

This paper presents a systematic literature review investigating the integration of lightweight blockchain and fog computing technologies to enhance the security and operational efficiency of drones. With a focus on critical applications such as military surveillance and emergency response, this review examines how the combination of blockchain’s secure, decentralized ledger and fog computing’s low-latency, localized data processing can address the unique challenges of drone operations. By compiling and analyzing current research, this study highlights innovative approaches and solutions that leverage these technologies to improve data integrity, reduce communication latency, and facilitate real-time decision-making in drone missions. Our findings underscore the significant potential of this technological integration to advance the capabilities and reliability of drones in high-stakes scenarios.

Navigating the challenges of generative technologies: Proposing the integration of artificial intelligence and blockchain

The transformative impact of generative AI (GenAI), extending beyond traditional AI, raises numerous concerns including the replacement of human roles and AI misuse in an array of industries. This article introduces blockchain technology as a complementary technological safeguard to address some of these challenges. We emphasize blockchain’s role in promoting transparency, verifiability, and decentralization in AI development and usage, thereby offering potential solutions for four distinct challenges: (1) AI toxicity, biases, hallucinations, (2) AI interest misalignment, (3) AI as a black box, and (4) AI misuse. This article proposes ways to ensure responsible and transparent AI usage through the integration of blockchain. We position the convergence of AI and blockchain as a means to manage AI’s societal impact and unlock its benefits—contingent upon collaborative efforts among various stakeholders such as businesses, developers, and regulatory bodies. We contribute to the discourse on ethical AI usage and the potential of blockchain to enhance AI’s reliability and accountability for organizations.

Research on Integrating Blockchain and Machine Learning LPP Algorithm in Online Education Platform under COVID-19 Environment

Learners confront the issue of navigating an enormous quantity of resources in the developing field of online education, which has been exacerbated by the COVID-19 pandemic. To solve this, our research proposes a novel Learner Path Planning (LPP) model that integrates blockchain and machine learning technologies to maximize the online learning experience. This model employs the ant colony optimization technique, which has been upgraded with blockchain for enhanced security and machine learning for intelligent path planning, to provide a more personalized and efficient learning experience. Our approach determines the extent of concept realization and interaction by examining the interaction degrees of knowledge points, establishing heuristic information and initial pheromone levels for the optimization process. This technique not only optimizes teaching duration based on instructional efficacy, but it also adapts dynamically to individual learner needs. Our empirical data reveal that goal success rates improve significantly across all learner levels. For example, elementary students in 2021 had the highest goal achievement rate of 0.5896. In 2019, intermediate and advanced learners attained rates of 0.7726 and 0.9058, with a significant association between course similarity and target achievement. Blockchain integration ensures secure and transparent processing of educational data, while machine learning algorithms successfully personalize learning routes to meet the various demands of learners. This study not only assists learners in effectively identifying suitable resources, but it also provides useful insights for instructors in improving online teaching approaches. The model's adaptability and scalability make it particularly applicable in the context of the COVID-19 pandemic's rapid developments and problems in the education sector.

Towards secure and efficient integration of blockchain and 6G networks.

The future of communication systems is undergoing a transformative shift towards intelligence, efficiency, and flexibility. Presently, the amalgamation of blockchain technology and the sixth-generation mobile communication network (6G) has garnered significant attention, as their fusion is poised to profoundly impact the digital economy and society at large. However, the convergence of blockchain and 6G networks poses challenges pertaining to security and performance. In this article, we propose an approach based on the design of secure mechanisms and performance optimization to delve into the key issues surrounding the integration of blockchain and 6G networks from both security and performance perspectives. Specifically, we first introduce the application scenarios of 6G networks and blockchain's empowerment of them to highlight the necessity of combining blockchain technology with 6G. Subsequently, in order to ensure the security of communication and data transmission between blockchain and 6G networks, we have investigated the design requirements for security mechanisms. Furthermore, we discuss the efficient realization of the amalgamation between blockchain and 6G networks by proposing a solution based on Directed Acyclic Graph (DAG) for blockchain's asynchronous consensus protocol, alongside optimization strategies for storage and communication to meet the desired characteristics and requirements of 6G networks. Lastly, we provide valuable research directions that serve as references and guidance for the future development of the integration between blockchain and 6G networks.

Challenges and Future Trends of Cryptography in Internet of Things

The incorporation of cryptographic techniques is crucial for guaranteeing data privacy and security processed additionally sent inside IOT ecosystems, particularly as the IOT keeps growing. Examining problems including resource limitations, scalability, and the dynamic nature of IOT environments, this research paper explores the complex obstacles that cryptographic solutions confront considering the IOT. Lightweight cryptography, post-quantum cryptography, and blockchain integration are some of the new trends and future prospects in cryptographic research that are examined in this study in an effort to address these issues. This work offers a useful viewpoint for scholars, practitioners, and legislators engaged in the constantly changing field of cryptographic protocols inside the IOT framework by clarifying current problems and projecting future advancements. Keywords— Cryptography, Internet of Things (IOT), Security,Challenges

An All-Inclusive Taxonomy and Critical Review of Blockchain-Assisted Authentication and Session Key Generation Protocols for IoT

Authentication and Session Key Generation Protocols (SKGPs) play an essential role in securing the communication channels of connected Internet of Things (IoT) devices. Recently, through blockchain integration, scholars have tried to enhance the security and applicability of SKGPs. In brief, blockchain is a distributed ledger technology that can provide interesting features such as immutability, transparency, and accountability without any need for the active participation of trusted parties. This survey presents a comprehensive critical review of blockchain-assisted authentication and SKGPs, suggested for different IoT domains, including Internet of Vehicles, Internet of Drones, and Industrial IoT. Our survey categorizes existing schemes based on several criteria, including IoT application domains, security aspects, and blockchain components. By presenting an unbiased critical review and taxonomy of protocols, we aim to clarify the key challenges. Our review will specifically indicate what properties authors gained or lost through the integration of blockchain. To our best knowledge, this survey is the only one that offers all prerequisites for interested readers in blockchain-integrated SKGPs, such as security features and attacks, attack models, verification tools, blockchain types, blockchain platforms, and consensus mechanisms. Further, our survey elaborates existing research gaps in blockchain-assisted SKGPs. In doing so, we aim to guide future research in this field and provide researchers with the essential information they require.

Blockchain technology in circular economy: Unpacking the potential issues and critical echoes through data triangulation and natural language processing

AbstractThis study aims to identify the current status, potential issues and critical echoes in the integration of blockchain within circular economy (CE) practices. This study utilizes multiple data sources and synthesizes 91 published articles, and over 11,182 social media documents. Word‐embedding‐based clustering technique is employed to derive topics and themes on the use of blockchain in CE. The result of the study demonstrates that industries seek to implement blockchain for CE practices to automate processes for higher efficiency. However, issues revolving around blockchain governance and ethics, the impact of global trade facilitation, the skills required to implement blockchain, and sustainable reverse logistics within CE practices are major concerns. Additionally, acheiving a good return on investment while using blockchain for CE practices is another factor of concern for decision‐makers. This is the first study of its kind to discover topics, themes, potential issues, and critical echoes of integrating blockchain in CE through data triangulation. The results of this study are relevant to managers and policymakers, providing insights into leveraging up‐to‐date developments to address challenges in integrating blockchain within CE practices.

Integration of Ethereum Blockchain with Cloud Computing for Secure Healthcare Data Management System

Effective management of health data is critical in this age of digital change. In order to solve the issues with safe healthcare data systems, this paper suggests a brand-new Hybrid Healthcare Data Management System (HDMS) that seamlessly combines blockchain and cloud computing technology. The solution guarantees the safe storage and effective administration of health data by utilizing the scalability and flexibility of cloud computing. The Ethereum blockchain, which offers immutability through smart contracts for data integrity assurance, is used to improve security. Important components of the suggested approach include Blockchain Anchoring, which uses distinct hash references on Ethereum to ensure data integrity, Google Cloud Integration for scalable storage and immediate data access, and compliance with Health Level 7 (HL7) formatting criteria for medical data storage. Robust privacy safeguards include cutting-edge methods like decentralized identifiers (DIDs) and homomorphic encryption, which guarantee secure computations on encrypted data and trustworthy identification for allowed access. IPFS file storage is used by the system to improve security by providing redundancy and resilience. By utilizing blockchain's immutability and cloud storage's distributed architecture, HDMS demonstrates resilience against disturbances. Results of the proposed method is implemented in Python Software. The Homomorphic approach that has been suggested continuously beats Optimized Blowfish Algorithm (OBA) in terms of encryption and decryption times. The improvement in encryption is between 3000ms (10 kb) and 1350ms (40 kb). The enhancement demonstrates improved efficiency across data sizes, ranging from 4000ms (10 kb) to 3350ms (40 kb) in decryption. The goal of HDMS is to create a future in which patient outcomes are enhanced by the appropriate handling, storage, analysis, and use of medical data.

Establishing Robust Data Sharing Through a Blockchain-Driven Standardization Framework in Local Community Healthcare System

The healthcare industry's digitalization has sparked innovation and improved various aspects of the services. Community hospitals in Pangasinan still use conventional paper-based methods for managing patients' health records. However, the healthcare information system is still in a traditional structured excel platform and lacking of communication among healthcare providers. This study aims to design a blockchain-driven standardization framework to establish robust data sharing and increase the confidentiality and security of stakeholders in using the healthcare system. In gathering data, a focus group was organized to give a valuable perspective on the present state of the healthcare system through conducting an online survey, seven respondents are direct users of the healthcare system. The study adopted the IS4H assessment maturity tool concerning data management and information technology in identifying the gaps and challenges in the existing healthcare system. A comprehensive review of related literature regarding the usability of access control models in the study and the potential of blockchain technology in the healthcare system is also essential. Blockchain technology provides features that enhance the accessibility and immutability of the healthcare system and to the stakeholders. The research underscores the paramount importance of integrating blockchain, access control, and security measures to safeguard privacy in the system. The implication of the integration of blockchain is seamless, secure, and patient-centric which has a great potential to contribute to improving the digitalization of healthcare quality of services in the healthcare system.

The Role of Blockchain Technologies in Combating Corruption within the Virtual Assets Realm

The utilisation of blockchain technology can greatly hinder the perpetration of corrupt deeds owing to its data immutability and transparency. The purpose of the study is to assess the impact of blockchain integration on reducing corruption risks in the realm of virtual assets. It was found that since the introduction of blockchain, Estonia has almost doubled the ranking of countries in anti-corruption. According to the study, the volume of illegal cryptocurrency transactions continues to grow, requiring financial systems to adapt to new challenges. The prospect of further research should be based on strengthening financial security. The scientific novelty lies in the recognition of blockchain technologies’ potential as a tool for ensuring transparency and information inviolability within the virtual assets realm. The practical value of the study lies in developing recommendations for integrating blockchain technologies into virtual assets’ control and audit, which will contribute to enhancing the effectiveness of anti-corruption measures

Blockchain integration for in-vehicle CAN bus intrusion detection systems with ISO/SAE 21434 compliant reporting.

The development of Intrusion Detection Systems (IDS) for in-vehicle buses has gained a lot of momentum in recent years as the number of reported vulnerabilities and the degree of interconnectivity for modern vehicles are on the rise. Since intrusion detection is resource consuming, it can be performed on computationally capable Android head units that are now present inside vehicles. Moreover, these units are connected to the internet, which enables the use of more complex algorithms that run in cloud environments. In this work we develop one such approach: an IDS that consists of a locally installed copy, running on head units, and a centralized instance of it that runs in the cloud and monitors traffic for groups of similar vehicles. Additionally, the centralized instance is part of a cloud service for intrusion detection which is continuously updated with the most recent types of attacks. The classification results of the cloud-based service are further analyzed by an incident response team which confirms the presence of known attacks, analyzes new types of attacks and assesses their impact. The output of this activity is stored on the Blockchain as ISO/SAE 21434 compliant reports, ensuring the transparency and traceability of the reported incidents.

REVOLUTIONIZING BANKING SECURITY: INTEGRATING ARTIFICIAL INTELLIGENCE, BLOCKCHAIN, AND BUSINESS INTELLIGENCE FOR ENHANCED CYBERSECURITY

This paper outlines the methodology and implementation strategies necessary to revolutionize banking security and ensure a resilient financial ecosystem. In the dynamic landscape of banking, security stands as a cornerstone for financial institutions. The rise of digital banking and the proliferation of online transactions have heightened the need for robust cybersecurity measures to protect sensitive financial data and ensure the integrity of transactions. Traditional security approaches are often reactive and struggle to keep pace with the evolving tactics of cybercriminals. Consequently, there is a pressing need for innovative solutions that can adapt to emerging threats in real-time. The integration of Artificial Intelligence (AI), Blockchain, and Business Intelligence (BI) offers a paradigm shift in banking security. AI, with its ability to analyze vast amounts of data and identify patterns indicative of suspicious behavior, serves as a proactive defense mechanism against cyber threats. By continuously monitoring transactions and network activities, AI-powered systems can swiftly detect anomalies and potential security breaches, enabling banks to respond effectively and mitigate risks before they escalate. Blockchain technology introduces a decentralized and immutable ledger that enhances the security and transparency of transactions. By utilizing cryptographic principles, Blockchain ensures that transactional data remains tamper-proof and verifiable, reducing the risk of fraud and unauthorized access. This technology not only secures financial transactions but also enables the secure sharing of data among stakeholders, facilitating seamless collaboration while maintaining data integrity. Business Intelligence (BI) complements AI and Blockchain by providing actionable insights derived from data analytics. BI tools enable banks to gain a deeper understanding of their security posture, identify vulnerabilities, and prioritize remediation efforts.
 Keywords: Banking, Security, AI, Integration, Blockchain.

An In-Depth Examination of Blockchain Integration in Supply Chain Optimization, along with Future Directions

The potential of Decentralized Ledger Technology in Supply Chain Management has drawn more and more attention in recent years. This study explores how blockchain technology might improve supply chain operations' efficiency, security, traceability, and transparency. This study clarifies the various advantages that blockchain provides to supply chain stakeholders through qualitative research incorporating in-depth interviews (both in-person and via video conference) with 15 participants. The results highlight how blockchain technology has the power to transform established supply chain procedures, cut expenses, stop fraud, and guarantee that moral principles are followed.

Peer-to-Peer Network Node Distribution Analysis Using Block chain

This project uses block chain technology to propose a decentralized access control method for anonymous authentication and secure cloud data storage. The suggested plan improves privacy by guaranteeing that users can authenticate themselves to the cloud without disclosing who they are. Block chain integration improves system security by removing single points of failure and enabling robust, decentralized access management. The plan handles user revocation, enables fine-grained access control, and successfully thwarts replay assaults. Users have similar communication, processing, and storage overheads to centralized methods when creating, editing, and reading material that is stored on the cloud. Our method is decentralized, which sets it apart from conventional models and makes it a useful and effective way to store data securely on the cloud for applications that need a high degree of trust.

Transforming Poultry Management through the Fusion of Cutting-Edge Technologies: A Robust Approach to Secure Poultry Insight with Integration of IoT and Blockchain

This paper focuses on the integration of Internet of Things (IoT) and blockchain technology modernizing the poultry industry. Production of poultry is highly dependent on environmental parameters like temperature, humidity, air, and lighting to maintain and boost the production of poultry. Monitoring several environmental parameters is crucial for a large poultry farm, especially in the traditional way. Recently, the adoption of IoT and Blockchain has been used for monitoring and maintaining the farm automatically. At first, the temperature is monitored using IoT-based sensors. All the details of the registered users are stored in the blockchain to provide security for their details. Since storing the entire supply chain data on Blockchain is very costly, distributed off-chain file storage IPFS is used. Keywords—poultry, blockchain, IoT , Environmental monitoring

Web Application for Retrieval-Augmented Generation: Implementation and Testing

The purpose of this paper is to explore the implementation of retrieval-augmented generation (RAG) technology with open-source large language models (LLMs). A dedicated web-based application, PaSSER, was developed, integrating RAG with Mistral:7b, Llama2:7b, and Orca2:7b models. Various software instruments were used in the application’s development. PaSSER employs a set of evaluation metrics, including METEOR, ROUGE, BLEU, perplexity, cosine similarity, Pearson correlation, and F1 score, to assess LLMs’ performance, particularly within the smart agriculture domain. The paper presents the results and analyses of two tests. One test assessed the performance of LLMs across different hardware configurations, while the other determined which model delivered the most accurate and contextually relevant responses within RAG. The paper discusses the integration of blockchain with LLMs to manage and store assessment results within a blockchain environment. The tests revealed that GPUs are essential for fast text generation, even for 7b models. Orca2:7b on Mac M1 was the fastest, and Mistral:7b had superior performance on the 446 question–answer dataset. The discussion is on technical and hardware considerations affecting LLMs’ performance. The conclusion outlines future developments in leveraging other LLMs, fine-tuning approaches, and further integration with blockchain and IPFS.