Integration Of Blockchain Research Articles

Enhancing Data Security in Cloud Computing Using Blockchain

As cloud computing continues to proliferate, ensuring data security within cloud environments becomes increasingly critical. This paper explores the integration of blockchain technology as a means to enhance data security in cloud computing. Blockchain, with its decentralized and immutable ledger system, offers unique capabilities that address key security challenges such as data privacy, integrity, identity management, and compliance. Through a comprehensive analysis of blockchain's potential applications and integration strategies, this paper provides insights into how blockchain can bolster data security in cloud computing environments. Case studies and real-world implementations highlight successful integration efforts by major cloud service providers such as IBM, Microsoft, and Amazon. Additionally, this paper discusses the challenges and limitations associated with blockchain integration and explores future directions and emerging trends in the intersection of blockchain and cloud security. By leveraging blockchain technology, organizations can enhance their security posture in the cloud, ensuring the confidentiality, integrity, and availability of their sensitive data.

Merkle-Damgård hash functions and blockchains : Securing electronic health records

The integration of Blockchain (BC) technology with the Merkle-Damgård Structure (M-DS) presents a practical model for securing Electronic Health Records (EHR). This research study examines how these cryptographic mechanisms can be functional to address confidentiality, integrity, and availability concerns when working with specific clinical data. Secure EHR is developed based on the M-DS, which is notable for being capable of generating Collision-Resistant Hash Functions (CRHF). The summary of BC-based technology in the EHR environment enhances access control, allows it to be fixed, and simplifies decentralized access. A decentralized BC system stores the values that have been hashed, resulting in patient EHR using the M-DC, as per the proposed method. As an outcome of smart contracts’ ability to manage access, only persons who have been authorized to access can analyze and alter clinical information. The strategy of the model’s cryptographic mechanism highlights openness and accountability by securing data confidentiality by encryption and by regularly generating a verification record of every transaction. This work discusses an exhaustive method to secure EHR in a clinical system that develops more computer-aided and data-driven over performing a complete assessment of the mathematical models that are enabling MDC and BC Technology within the overall system of EHR security.

Emerging research on the integration of blockchain in marketing: A bibliometric analysis

Emerging research on the integration of blockchain in marketing: A bibliometric analysis

Examination of the Role of Ethics-Based Auditing in the Development of Trustworthy Artificial Intelligence (Case Study: Auditing Firms in Tehran)

Objective: The study aims to examine the role of ethics-based auditing in the development of trustworthy artificial intelligence (AI) within auditing firms based in Tehran. Methodology: The research is applied in its objective and descriptive-survey in its execution. The study utilizes thematic content analysis to identify the necessity and importance of the research. A meta-analysis is conducted to review the literature. In-depth interviews with experts were carried out until theoretical saturation was achieved, followed by data coding. The model was tested using structural-interpretive equations and a questionnaire as tools to apply the research findings to the studied population. The sample includes managers of auditing firms in Tehran, selected using the snowball sampling method. Data were collected using both open and closed questionnaires and structured interviews. Findings: The study identified 14 key indicators of ethics-based auditing influencing the development of trustworthy AI, including technical issues, organizational complexity, legal issues, increased transparency, reduced information asymmetry, stakeholder participation and cooperation, decentralization, ease of traceability, trustworthiness, infrastructure, real-time accounting, audit data security, flexibility, and cybersecurity. These indicators were categorized into four groups based on their influence power and dependency: independent, linkage, autonomous, and dependent variables. Conclusion: The findings suggest that ethics-based auditing can significantly influence the development of trustworthy AI in auditing firms. From an agency theory perspective, blockchain technology and AI increase the difficulty of data manipulation and enhance process automation, improving transparency and reducing fraud. From a stakeholder theory perspective, blockchain technology promotes an open and inclusive environment, enhancing collaboration and business opportunities. The integration of blockchain and AI in accounting practices can meet the diverse needs of different users, improving trust and reliability in financial reporting.

A scalable blockchain-enabled federated learning architecture for edge computing.

Various deep learning techniques, including blockchain-based approaches, have been explored to unlock the potential of edge data processing and resultant intelligence. However, existing studies often overlook the resource requirements of blockchain consensus processing in typical Internet of Things (IoT) edge network settings. This paper presents our FLCoin approach. Specifically, we propose a novel committee-based method for consensus processing in which committee members are elected via the FL process. Additionally, we employed a two-layer blockchain architecture for federated learning (FL) processing to facilitate the seamless integration of blockchain and FL techniques. Our analysis reveals that the communication overhead remains stable as the network size increases, ensuring the scalability of our blockchain-based FL system. To assess the performance of the proposed method, experiments were conducted using the MNIST dataset to train a standard five-layer CNN model. Our evaluation demonstrated the efficiency of FLCoin. With an increasing number of nodes participating in the model training, the consensus latency remained below 3 s, resulting in a low total training time. Notably, compared with a blockchain-based FL system utilizing PBFT as the consensus protocol, our approach achieved a 90% improvement in communication overhead and a 35% reduction in training time cost. Our approach ensures an efficient and scalable solution, enabling the integration of blockchain and FL into IoT edge networks. The proposed architecture provides a solid foundation for building intelligent IoT services.

Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain

Electronic Health Records (EHRs) have become an increasingly significant source of information for healthcare professionals and researchers. Two technical challenges are addressed: motivating federated learning members to contribute their time and effort, and ensuring accurate aggregation of the global model by the centralized federated learning server. To overcome these issues and establish a decentralized solution, the integration of blockchain and federated learning proves effective, offering enhanced security and privacy for smart healthcare. The proposed approach includes a gamified element to incentivize and recognize contributions from federated learning members. This research work offers a solution involving resource management within the Internet of Medical Things (IoMT) using a newly proposed trust decentralized loop federated learning consensus blockchain. The obtained raw data is pre-processed by using handling missing values and adaptive min-max normalization. The appropriate features are selected with the aid of hybrid weighted-leader exponential distribution optimization algorithm. Because, data with multiple features exhibits varying levels of variation across each feature. The selected features are then forwarded to the training phase through the proposed pyramid squeeze attention generative adversarial networks to classify the EHR as positive and negative. The proposed classification model demonstrates high flexibility and scalability, making it applicable to a wide range of network architectures for various computer vision tasks. The introduced model provides better outcomes in terms of 98.5% in the training accuracy and 99% in the validation accuracy over Medical Information Mart for Intensive Care III (MIMIC-III) dataset, which is more efficient than the other traditional methods.

Blockchain Applications in CRM for Supply Chain Management

In today's fast-paced business world, effective Customer Relationship Management (CRM) and Supply Chain Management (SCM) are crucial for companies aiming to stay competitive and meet the ever-evolving demands of their customers. Enter blockchain technology – a revolutionary tool that's transforming the way businesses handle these core functions. This abstract explores the promising applications of blockchain in CRM for supply chain management, highlighting its potential to enhance transparency, security, and efficiency. Blockchain's decentralized ledger system offers an immutable record of transactions, ensuring that all parties in the supply chain have access to the same, unalterable data. This transparency builds trust among suppliers, manufacturers, and customers, reducing the risk of fraud and discrepancies. In the realm of CRM, blockchain can create a more accurate and comprehensive view of customer interactions, preferences, and histories. By securely linking customer data across different platforms, businesses can provide a more personalized and consistent customer experience. Moreover, blockchain's smart contracts automate and streamline processes by executing predefined actions when certain conditions are met. This can significantly reduce administrative overhead and speed up transactions in the supply chain, leading to faster deliveries and better resource management. Additionally, the enhanced security features of blockchain protect sensitive customer and transaction data from cyber threats, fostering a safer business environment. The integration of blockchain in CRM and SCM isn't just a technological upgrade; it's a strategic move that can lead to greater operational efficiency, improved customer satisfaction, and a stronger competitive edge. As businesses continue to explore and adopt blockchain solutions, the synergy between these technologies promises to revolutionize the landscape of customer and supply chain management. This abstract delves into these transformative possibilities, showcasing how blockchain is poised to redefine the future of CRM and SCM.

Machine Learning Empowered Security and Privacy Architecture for IoT Networks with the Integration of Blockchain

Machine Learning Empowered Security and Privacy Architecture for IoT Networks with the Integration of Blockchain

Blockchain Integration in Industry 5.0: A Security Experiment for Resilience Assessment

This study uses an organized experimental methodology to assess the security and robustness of blockchain-integrated systems within the framework of Industry 5.0. The R&D department's average salary increased by 10%, according to an analysis of personnel statistics, which reflects trends in remuneration. Interdepartmental transactions have increased by 20% according to blockchain transaction analysis, highlighting the significance of safe interdepartmental cooperation. Security issues highlight the need of ongoing watchfulness; in the R&D department, data breaches have increased by 30%. The Manufacturing department scored 85% on the resilience evaluation, which reveals diversity in departmental flexibility. Conclusively, this study offers crucial perspectives on blockchain's function in Industry 5.0 and underscores the need of security, cooperation, and adaptability in this dynamic environment.

Blockchain Applications in Accounting and Auditing: Research Trends and Future Research Implications

Blockchain applications in accounting and auditing are crucial because they can revolutionize transparency, security, and efficiency in financial record-keeping. This paper examines the current research trends and future implications of using blockchain in accounting and auditing. This study uses scholarly articles from the Scopus database for bibliographic analysis to reveal research patterns, geographical circumstances, thematic trends, collaboration links, and findings that can shape future research and policies on blockchain's impact on accounting and auditing practices. Recently, there has been a significant increase in publications, indicating a growing interest in this field. Among countries, UK had the highest international cooperation, with substantial contributions and a steady level of engagement. Keyword trends show a growing focus on blockchain integration with big data technologies to get the organization involved in auditing and accounting. Privacy and digital technology were identified as emerging themes that need attention. Among the top sources of publications were Financial and Credit Activity: Problems of Theory and Practice and the International Journal of Digital Accounting Research. The research highlights significant challenges in adopting blockchain technology within accounting and auditing: ensuring security and security, adopting the regulatory framework and deriving the economic value and suggests integrated governance models, redesigning regulatory frameworks, and responsible technological advancements like AI to address widespread adoption of blockchain technology in accounting and auditing.

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Optimized Data Fusion With Scheduled Rest Periods for Enhanced Smart Agriculture via Blockchain Integration

Blockchain Integration with AIoT Data Security and Privacy for Sustainability

As a primary goal, AIoT (Artificial Intelligence of Things) is the fusion of AI (artificial intelligence) methods with IoT (Internet of Things) infrastructure, which is deployed there to enhance the overall system performance of AIoT. Artificial Intelligence of Things can be used to make Internet of Things operations more efficient, which will enhance data analysis and human-machine interactions. The system's general usefulness is further increased by applying artificial intelligence techniques to convert Internet of Things data into relevant information for improved decision-making processes. The Artificial Intelligence of Things frameworks have a wide range of applications, including eCommerce, logistics operations and control, smart homes, smart farms, intelligent transportation systems, industrial automation and control, eCommerce, secure as well as safe healthcare monitoring, and many more. AIoT frameworks, however, are susceptible to a variety of information security-related assaults, which could result in problems with data security and privacy. Serious repercussions, such as unapproved data updates and leaks, are also brought on by these problems. One particular kind of database is the blockchain. It's a digital record of all the transactions that's distributed throughout the whole network of systems. Data is stored in the blocks that are linked in a chained manner. Compared to conventional security methods, blockchain technology offers greater security and is impervious to tampering. Therefore, to increase security, blockchain can be used in a variety of AIoT applications. A safe authentication architecture for AIoT has been suggested, modelled after a generalised blockchain. The adversarial model, which handles most potential security threats in this kind of communication environment, is also highlighted. This framework is part of the blockchain-envisioned safe authentication framework for the Internet of Things. The suggested framework's numerous applications are also covered. Additionally, certain problems and difficulties with the suggested framework are emphasised. Finally, we also offer some suggestions for future research that are related to the framework that has been suggested.

Blockchain integration in public sector: A comprehensive review of economic and legal challenges

Blockchain integration in public sector: A comprehensive review of economic and legal challenges

Data Manipulation in Wireless Sensor Networks: Enhancing Security Through Blockchain Integration with Proposal Mitigation Strategy

Data Manipulation in Wireless Sensor Networks: Enhancing Security Through Blockchain Integration with Proposal Mitigation Strategy

The New Trend of the Integration of Artificial Intelligence and Blockchain in Network Security

The New Trend of the Integration of Artificial Intelligence and Blockchain in Network Security

Transformative Trends: Analyzing the Integration of Block chain in Banking Operations

Transformative Trends: Analyzing the Integration of Block chain in Banking Operations

Exploring the Landscape: A Systematic Review on the Issues, Technologies, and Solutions related to the Integration of Blockchain with IoT

Over the past few years, the smart city concept has become a prominent solution to address urban challenges, including economic, social, and environmental issues. These cities strive to offer superior services in healthcare, energy management, transportation, and education by leveraging IoT devices. These devices are pivotal in data collection, analysis, and facilitating citizen interactions. Incorporating IoT applications into our surroundings augments automation, efficiency, and user comfort. To achieve this vision, it is imperative to ensure robust security, privacy, effective deployment, authentication, and resilience against cyber-attacks. Several recent studies have shown promising results regarding the use of blockchain for addressing IoT security concerns, especially in access control and authentication domains. The smart city concept, while beneficial, still faces numerous challenges regarding information security and privacy. With its unique characteristics like auditability, immutability, transparency, and decentralization, blockchain can significantly boost the growth of smart cities and rectify communication issues among IoT devices. This research explores blockchain\'s potential to resolve access control and authentication challenges in IoT when merged with it. It will also offer an in-depth analysis and evaluation of recently proposed solutions in the literature focusing on integrating IoT with blockchain.

Leveraging Blockchain and Data Analytics to Enhance Financial Inclusion in Nigeria: A Study of Blockchain-Based Information System

This study explores how blockchain technology and data analytics can be leveraged to enhance financial inclusion in Nigeria, using a blockchain-based information system. Despite efforts by the Nigerian government and financial institutions to improve financial inclusion, significant barriers such as lack of trust, high transaction costs, and limited access to banking services persist. The objective of the study is to analyse the role blockchain and data analytics can play in addressing these barriers by offering secure, transparent, and efficient financial solutions to the unbanked population. The study is grounded in the Diffusion of Innovation Theory, which explains how new technologies like blockchain are adopted within a society. The study employs a mixed-methods approach, using both qualitative and quantitative data. Data was collected through surveys of financial service providers, interviews with blockchain experts, and secondary data from financial inclusion reports. The integration of blockchain for secure and transparent transactions, combined with data analytics to understand consumer behaviour and financial needs, forms the foundation of the study. Key findings indicate that blockchain-based information systems can reduce transaction costs, improve trust through transparency, and offer decentralised financial services to underserved communities. Data analytics provides deeper insights into consumer behaviour, enabling financial institutions to design targeted financial products for the unbanked population. The study concludes that blockchain and data analytics have the potential to transform financial inclusion in Nigeria. Recommendations include the formulation of supportive regulatory frameworks, partnerships between fintech and traditional banks, and initiatives to enhance digital literacy among the population to maximise the impact of these technologies on financial inclusion.

Blockchain technology as a tool for countering illicit use of website access

This paper introduces an innovative approach to cybersecurity, integrating blockchain technology with economic analysis to address the burgeoning challenges in website security, such as unauthorized access and data breaches. The study delves into the existing security measures, highlighting their limitations and proposing a robust solution through the unique features of blockchain, like immutability, decentralized data storage, and cryptographic encryption. To analyze the distribution of access to web resources, it employs the Gini coefficient and the Lorenz curve, which aids in identifying potential vulnerabilities and provides a quantitative foundation for evaluating the security system’s effectiveness. In a significant advancement, the paper describes the creation of a Unified Modeling Language (UML) diagram and a class structure design to conceptualize the integration of blockchain and economic analysis within the cybersecurity framework. Additionally, it discusses the development of a Python-based algorithm, illustrating its functionality and efficiency in real-world scenarios. The algorithm’s performance was meticulously tested using authentic data sets, with the results demonstrating a marked improvement in websites’ ability to counteract cyber threats. By incorporating practical aspects such as UML schematics, class structure development, and Python coding into the research, this paper not only proposes a theoretical model but also showcases its application potential. The research has substantial practical implications, offering a new paradigm for website protection across diverse web applications, including corporate portals and e-commerce. It also makes a pivotal contribution to the academic community, merging cybersecurity, blockchain technology, and economic analysis, and opening new avenues for future research.

Resource Allocation in Blockchain Integration of UAV-Enabled MEC Networks: A Stackelberg Differential Game Approach

Resource Allocation in Blockchain Integration of UAV-Enabled MEC Networks: A Stackelberg Differential Game Approach