As organizations increasingly adopt cloud computing to achieve scalability and agility, ensuring compliance and maintaining secure audit trails in cloud configuration management have become critical challenges. Traditional configuration management approaches often lack transparency, are vulnerable to tampering, and offer limited assurance to regulators and stakeholders in highly regulated industries such as finance, healthcare, and government. This paper proposes a Blockchain-Enabled Compliance and Audit Trail Model for Cloud Configuration Management, designed to enhance accountability, trust, and regulatory alignment through the integration of distributed ledger technology. The model employs a layered architecture comprising configuration management tools, a blockchain layer, compliance enforcement mechanisms, and user-facing dashboards. Configuration changes initiated through DevOps pipelines or cloud-native tools are first validated against compliance requirements, such as GDPR, HIPAA, or ISO 27001. Approved changes are then immutably recorded on a blockchain, ensuring tamper-proof logs that serve as an authoritative audit trail. Smart contracts embedded within the blockchain automate compliance enforcement by validating configuration states in real time, rejecting or flagging non-compliant changes before deployment. Key features of the framework include immutable audit trails, automated compliance validation, multi-stakeholder transparency, and cryptographic assurance of integrity. The use of blockchain ensures that no single entity can alter audit records, fostering trust between cloud providers, enterprises, and regulators. Interoperability with APIs allows integration into diverse cloud environments and DevOps workflows, enabling seamless adoption without disrupting existing operations. Use cases span across sectors where compliance is mission-critical: financial services requiring stringent auditability, healthcare systems protecting sensitive patient data, and government services demanding transparent accountability. While challenges remain—such as blockchain scalability, transaction costs, and integration complexity—the model offers a promising pathway toward resilient, compliance-driven cloud governance. Ultimately, it transforms cloud configuration management into a secure, verifiable, and regulator-friendly ecosystem.
Blockchain has emerged as a transformative technology, from its beginning as the basis of cryptocurrencies to wider applications in areas such as property registration and insurance due to its characteristic as a distributed ledger which can remove the need for a trusted third party to facilitate transaction. This spread of the technology to new application areas has been driven by the development of smart contractsblockchain-based protocols which can automatically enforce a contract. One area where the types of problems being considered for blockchain exists is higher education. Students in higher education are increasingly mobile, and in an ever more agile world, the friction and delays caused by multiple levels of administration in higher education can cause many anxieties and hardships for students. Distance learning as a primary platform for higher education promises to open up higher education to a wider range of learners than ever before. In this paper, we review the use of blockchain in higher education and experimental implementations of a blockchain-based university transcript system in order to empower students and better fit today's ever more agile society and then describe some experimental results in using blockchain for higher education transcripts.
Data analytics has captured attention of both researchers as well as business organizations, since a long time now, as the knowledge or information getting analyzed and evolved is priceless in upbringing the business. Blockchain is the latest technology which is getting adopted at a faster rate due to its unique properties. This paper focuses mainly on data models, and some tools used for data analytics being used in blockchain environment. Public blockchain is an open ledger platform which allows to perform data analytics.
Alevtina Dubovitskaya, Petr Novotny, Zhigang Xu, Fusheng Wang
BACKGROUND: Timely sharing of electronic health records across providers, while ensuring data security and privacy, is essential for prompt care of cancer patients, as well as for the development of medical research and the enhancement of personalized medicine. Yet, it is not trivial to achieve efficient consent management, data exchange, and access-control policy enforcement, in particular, in decentralized settings, and given the gravity of the condition such as cancer. Using blockchain technology (BCT) has been recently advocated by research communities and gained momentum from the industry perspective. However, most of the proposed solutions are at the level of a prototype, and blockchain-based healthcare data management systems are not in place yet. SUMMARY: This paper presents a systematic literature review, aiming to analyze the motivations, advantages, and limitations, as well as barriers and future challenges faced when applying the state-of-the-art distributed ledger technology in oncology. We then discuss its outcomes and propose the direction of the future research that can help to attain integration and adoption of the BCT for data-sharing, medical research, and the pharmaceutical supply chain in oncology, as well as in healthcare in general. Key Messages:BCT has the potential to enhance data-sharing (for primary care and medical research), as well as to attain optimization of the pharmaceutical supply chain by bringing properties such as transparency, traceability, and immutability to the applications. However, BCT itself cannot guarantee data privacy and security. Thus, it is never proposed as a stand-alone technology, but as a combined technology with cryptographic techniques. Regardless of the number of existing prototypes of blockchain-based healthcare systems, due to the existing barriers of the adoption (e.g., legal, social, and technological limitations), there is a lack of evaluation in real-world settings. Aiming to overcome these limitations, we propose future research directions that include design of the privacy-preserving hybrid data storage, interoperable infrastructures and architecture, and are compliant with the international laws and regulations.
As one key infrastructure technology to lead the Fourth Industrial Revolution, blockchain technology is expected to bring about exciting developments across a variety of fields, such as politics, economy, culture and education. This paper is intended as a general overview of the main features of blockchain technology. In addition, the latest trends and development methods of blockchain technology will be briefly reviewed. The terminology of blockchain infrastructure technology has the potential to foster technological innovation across various industrial sectors as well as improve mutual harmony and understanding of complex structures and diverse phenomena in human society, especially antagonism, confrontation, and ideological conflict. With such progress in social innovation, blockchain technology will render human society more transparent and fair.
Mohib Hirani, Malka N. Halgamuge, Pham Duong Thu Hang
This study investigates a range of data security models developed to achieve data security using blockchain technology for different industrial domains. Current industries utilize data-driven mechanisms for decision making with concern focussed on ensuring data security. Blockchain has the potential to secure data by integrating different information systems since data is decentralized, encrypted and validated by the whole network. This study includes an analysis of blockchain security models using data extracted from 30 peer-reviewed scientific publications over two years (2017-2019). This study analyzed three components of the publications, including the process involved in securing data, the stage of development for securing data and in which industry a model is best applied. Results of the research show that the majority of articles (51.11%) cited Blockchain as a key feature of data security for improvising the data sharing process in industries. This study also finds that the stage of implementation most commonly featured is the proposal stage with potential architectures yet to be implemented (30%). Finally, this study shows that models are applied in industrial domains such as enterprises using data analytics, finance, Internet of Things (IoT), healthcare, education, and cloud service providers. This study finds that security models are most often applied to industries and supply chain management models (28.13%). It is recommended that industry professionals conduct further research to customize the data security models in their own domain. This study gives clear guidelines to researchers of suitable frameworks, processes and consensus mechanism to utilize Blockchain in Industries for data security.
In any registration process, it is a hassle to always bring physical documents. Not only that, the process is elongated if they are lost, and will contribute to identity theft if unauthorized persons have access to those documents. Therefore, the objective of this paper is to generate a decentralized system, similar to the concept of blockchain, to allow registered persons to access user’s personal records. To further elaborate, this system is designed to be used by three consumers, which are: user, authority, and third-party (requester). Nowadays, majority of systems are susceptible to massive data breaches. However, some researches have theorized that blockchain technology may solve this problem, such as one that uses a real-world example, Aadhaar. In conclusion, this project enhances that the area of blockchain identity is vital in helping society gain control of their personal details. Since most of researches are focused on storage system of businesses using blockchain, personal identities of the people should be digitized on the blockchain as well. An identity verification system that is entirely owned by the individual will increase trust that the data is genuine and reliable.
BACKGROUND: The rapid development of genetic and genomic technologies, such as next-generation sequencing and genome editing, has made disease treatment much more precise and effective. The technologies' value can only be realized by the aggregation and analysis of people's genomic and health data. However, the collection and sharing of genomic data has many obstacles, including low data quality, information islands, tampering distortions, missing records, leaking of private data, and gray data transactions. OBJECTIVE: This study aimed to prove that emerging blockchain technology provides a solution for the protection and management of sensitive personal genomic data because of its decentralization, traceability, encryption algorithms, and antitampering features. METHODS: This paper describes the case of a blockchain-based genomic big data platform, LifeCODE.ai, to illustrate the means by which blockchain enables the storage and management of genomic data from the perspectives of data ownership, data sharing, and data security. RESULTS: Blockchain opens up new avenues for dealing with data ownership, data sharing, and data security issues in genomic big data platforms and realizes the psychological empowerment of individuals in the platform. CONCLUSIONS: The blockchain platform provides new possibilities for the management and security of genetic data and can help realize the psychological empowerment of individuals in the process, and consequently, the effects of data self-governance, incentive-sharing, and security improvement can be achieved. However, there are still some problems in the blockchain that have not been solved, and which require continuous in-depth research and innovation in the future.
BACKGROUND: In recent years, researchers have made significant efforts in advancing blockchain technology. This technology, with distinct features of decentralization and security, can be applied to many fields. In areas of health data and resource sharing, applications of blockchain technology are also emerging. OBJECTIVE: In this study, we propose a cloud health resource-sharing model based on consensus-oriented blockchain technology and have developed a simulation study on breast tumor diagnosis. METHODS: The proposed platform is built on a consortium or federated blockchain that possesses features of both centralization and decentralization. The consensus mechanisms generate operating standards for the proposed model. Open source Ethereum code is employed to provide the blockchain environment. Proof of Authority is selected as the consensus algorithm of block generation. RESULTS: Based on the proposed model, a simulation case study for breast tumor classification is constructed. The simulation includes 9893 service requests from 100 users; 22 service providers are equipped with 22 different classification methods. Each request is fulfilled by a service provider recommended by the weighted k-nearest neighbors (KNN) algorithm. The majority of service requests are handled by 9 providers, and provider service evaluation scores tend to stabilize. Also, user priority on KNN weights significantly affects the system operation outcome. CONCLUSIONS: The proposed model is feasible based on the simulation case study for the cloud service of breast tumor diagnosis and has the potential to be applied to other applications.
Stefanos Leonardos, Daniel Reijsbergen, Georgios Piliouras
The rapid evolution of blockchain technology has brought together stakeholders from fundamentally different backgrounds. The result is a diverse ecosystem, as exemplified by the development of a wide range of different blockchain protocols. This raises questions for decision and policy makers: How do different protocols compare? What are their trade-offs? Existing efforts to survey the area reveal a fragmented terminology and the lack of a unified framework to reason about the properties of blockchain protocols. In this paper, we work towards bridging this gap. We present a five-dimensional design space with a modular structure in which protocols can be compared and understood. Based on these five axes -- Optimality, Stability, Efficiency, Robustness and Persistence -- we organize the properties of existing protocols in subcategories of increasing granularity. The result is a dynamic scheme -- termed the PREStO framework -- which aids the interaction between stakeholders of different backgrounds, including managers and investors, and which enables systematic reasoning about blockchain protocols. We illustrate its value by comparing existing protocols and identifying research challenges, hence making a first step towards understanding the blockchain ecosystem through a more comprehensive lens.
Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with data-driven decision-making. However, intrinsic features of IoT result in a number of challenges, such as decentralization, poor interoperability, privacy, and security vulnerabilities. Blockchain technology brings the opportunities in addressing the challenges of IoT. In this paper, we investigate the integration of blockchain technology with IoT. We name such synthesis of blockchain and IoT as blockchain of things (BCoT). This paper presents an in-depth survey of BCoT and discusses the insights of this new paradigm. In particular, we first briefly introduce IoT and discuss the challenges of IoT. Then, we give an overview of blockchain technology. We next concentrate on introducing the convergence of blockchain and IoT and presenting the proposal of BCoT architecture. We further discuss the issues about using blockchain for fifth generation beyond in IoT as well as industrial applications of BCoT. Finally, we outline the open research directions in this promising area.
The aim of this paper is to provide a systematic literature review of blockchain hardware acceleration. Blockchain technology has achieved significant attention in recent years particularly in the area of cryptocurrency however it is gaining popularity in other applications such as supply chain management and e-government. Based on a structured, systematic review of the relevant literature, we present a classification of the primary areas in blockchain technology that make use of heterogeneous hardware for accelerating certain blockchain functions. Based on these findings, we identify various research gaps and future exploratory directions that are anticipated to be of significant value both for academics and industry practitioners.
Blockchain technology, and more specifically Bitcoin (one of its foremost applications), have been receiving increasing attention in the scientific community. The first publications with Bitcoin as a topic, can be traced back to 2012. In spite of this short time span, the production magnitude (1162 papers) makes it necessary to make a bibliometric study in order to observe research clusters, emerging topics, and leading scholars. Our paper is aimed at studying the scientific production only around bitcoin, excluding other blockchain applications. Thus, we restricted our search to papers indexed in the Web of Science Core Collection, whose topic is "bitcoin". This database is suitable for such diverse disciplines such as economics, engineering, mathematics, and computer science. This bibliometric study draws the landscape of the current state and trends of Bitcoin-related research in different scientific disciplines.
Since the inception of Bitcoin, cryptocurrencies and the underlying blockchain technology have attracted an increasing interest from both academia and industry. Among various core components, consensus protocol is the defining technology behind the security and performance of blockchain. From incremental modifications of Nakamoto consensus protocol to innovative alternative consensus mechanisms, many consensus protocols have been proposed to improve the performance of the blockchain network itself or to accommodate other specific application needs. In this survey, we present a comprehensive review and analysis on the state-of-the-art blockchain consensus protocols. To facilitate the discussion of our analysis, we first introduce the key definitions and relevant results in the classic theory of fault tolerance which help to lay the foundation for further discussion. We identify five core components of a blockchain consensus protocol, namely, block proposal, block validation, information propagation, block finalization, and incentive mechanism. A wide spectrum of blockchain consensus protocols are then carefully reviewed accompanied by algorithmic abstractions and vulnerability analyses. The surveyed consensus protocols are analyzed using the five-component framework and compared with respect to different performance metrics. These analyses and comparisons provide us new insights in the fundamental differences of various proposals in terms of their suitable application scenarios, key assumptions, expected fault tolerance, scalability, drawbacks and trade-offs. We believe this survey will provide blockchain developers and researchers a comprehensive view on the state-of-the-art consensus protocols and facilitate the process of designing future protocols.
Odhran O’Donoghue, Anuraag A Vazirani, David Brindley, Edward Meinert
BACKGROUND: A blockchain is a list of records that uses cryptography to make stored data immutable; their use has recently been proposed for electronic medical record (EMR) systems. This paper details a systematic review of trade-offs in blockchain technologies that are relevant to EMRs. Trade-offs are defined as "a compromise between two desirable but incompatible features." OBJECTIVE: This review's primary research question was: "What are the trade-offs involved in different blockchain designs that are relevant to the creation of blockchain-based electronic medical records systems?" METHODS: Seven databases were systematically searched for relevant articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Papers published from January 1, 2017 to June 15, 2018 were selected. Quality assessments of papers were performed using the Risk Of Bias In Non-randomized Studies-of Interventions (ROBINS-I) tool and the Critical Assessment Skills Programme (CASP) tool. Database searches identified 2885 articles, of which 15 were ultimately included for analysis. RESULTS: A total of 17 trade-offs were identified impacting the design, development, and implementation of blockchain systems; these trade-offs are organized into themes, including business, application, data, and technology architecture. CONCLUSIONS: The key findings concluded the following: (1) multiple trade-offs can be managed adaptively to improve EMR utility; (2) multiple trade-offs involve improving the security of blockchain systems at the cost of other features, meaning EMR efficacy highly depends on data protection standards; and (3) multiple trade-offs result in improved blockchain scalability. Consideration of these trade-offs will be important to the specific environment in which electronic medical records are being developed. This review also uses its findings to suggest useful design choices for a hypothetical National Health Service blockchain. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/10994.
This thesis work is aimed at developing understanding of the hash functions and algorithms being used in blockchain technologies Bitcoin in comparison to Ethereum and private blockchain hash functions. This study attempts to answer one fundamental research question: “What considerations are important in assessing blockchain cryptographic security, with an emphasis on hash functions”. \n \nThe study was carried out qualitatively using a desk research approach and combining this approach with using two public blockchains-based cryptocurrencies; Ethereum and Bitcoin as case studies. The research aims to provide a holistic view of blockchain cryptographic security comparing Bitcoin and Ethereum as use cases, and thus providing a consolidated document which students studying cryptography can access to obtain a better understanding of what is involved in blockchain security. From an academic perspective, the research aims at providing a model which can be used in assessing what is important to consider in the cryptographic security of blockchains. \n \nThree main categories of factors considered were presented in the proposed model which were strategical factors, complexity attributes and technical drivers. This results in a base crucial metrics such as absence of secret seeds, efficiency of verification, preimage collision resistance, fixed output size, low collision probability, and even distribution of preimages in output.
Mohammad Maroufi, Reza Abdolee, Behzad Mozaffari Tazekand
The Internet of Things (IoT) technology will soon become an integral part of our daily lives to facilitate the control and monitoring of processes and objects and revolutionize the ways that human interacts with the physical world. For all features of IoT to become fully functional in practice, there are several obstacles on the way to be surmounted and critical challenges to be addressed. These include, but are not limited to cybersecurity, data privacy, energy consumption, and scalability. The Blockchain decentralized nature and its multi-faceted procedures offer a useful mechanism to tackle several of these IoT challenges. However, applying the Blockchain protocols to IoT without considering their tremendous computational loads, delays, and bandwidth overhead can let to a new set of problems. This review evaluates some of the main challenges we face in the integration of Blockchain and IoT technologies and provides insights and high-level solutions that can potentially handle the shortcomings and constraints of both IoT and Blockchain technologies.
Blockchain technology has been applied in many fields to improve the management and data security of the information systems. In this paper, we describe the applications of blockchain technology in Electric Management Information System. First, the components and structure of the blockchain framework are introduced. Then the blockchain based authentication application is studied to integrate with existing IT infrastructure. Finally, the benefit and limitations of the proposed integrated framework are analyzed. As industrial application research, this paper could give a reference example for the applications of blockchain in the data management system.
With the rise of Bitcoin, the blockchain technology as its core technology has received wide attention from all walks of life. Blockchain technology demonstrates its potential for audit applications by virtue of decentralization, transparency, and data tampering. This paper starts from the characteristics of blockchain technology and discusses the application value of blockchain in audit. Through the comparative study on the blockchain audit application of the international "big four" firms and Chinese firms, the impact of blockchain audit on the firm's business and the working methods of auditors is discussed. Based on this, relevant suggestions are put forward for the future development of blockchain audit.
Juan Arturo Castañeda-Ayarza, Cíntia Neves, André Frazão Teixeira
Digital currencies represent a new technological and monetary dynamics in the development of information technologies and internet. Bitcoin, a virtual currency that emerged in 2008 as a computer code, is characterized by being free of ties to monetary authorities and by not having nationality. The growing interest in Bitcoin is also found in science. Thus, our objective was to map the scientific knowledge about Bitcoin and Blockchain technology. Through bibliographic research in two databases, Science Direct and Scielo, 432 publications were mapped between 2008 and 2018. Out of these, 80% happened between 2016 and 2018, highlighting the rapid growth of scientific production. The main research topics are related to the Bitcoin market, the safety and efficiency of Blockchain technology, the illegal market, as well as the potential applications in areas such as energy, health, shared economy, Big Data and Internet of Things.
The blockchain represented by Bitcoin, the distributed ledger system can prevent double spending effectively and other issues. But it has caused the concentration of bitcoin mining power, which completely contradicts the essential feature of the complete decentralization of the blockchain. In the blockchain system, transaction data information among users is transparently stored on the chain, and each participant can obtain a complete data backup. These transaction data are stored in an open and transparent manner on each node of the entire network, although it can prevent data forgery and tampering, it brings data privacy problems. In this paper, we propose a multi-level reward structure for the problem of centralized power calculation in the mining pool. This structure can make the miners work alone to prove the workload and obtain the reward through their own calculation power, in order to weaken the role of the mining pool. At the same time, for the data privacy security problem in the bitcoin trading system, we have improved the bitcoin puzzle, and proposed a puzzle scheme based on non-interactive zero-knowledge proof to ensure data transaction security.
Blockchain, as well as Internet of Things (IoT), is considered as two major disruptive emerging technologies. However, both of them suffer from innate technological limitations to some extent. IoT requires strengthening its security features while Blockchain inherently possesses them due to its extensive use of cryptographic mechanisms and Blockchain, in an inverted manner, needs contributions from the distributed nodes for its P2P (Peer-to-Peer) consensus model while IoT rudimentarily embodies them within its architecture. This chapter, therefore, acutely dissects the viability, along with prospective challenges, of incorporating Blockchain with IoT technologies,inducing the notion of Blockchain of Things (BCoT), as well as the benefits such consolidation can offer.
This study attempts to create a cryptocurrency classification metod and tool for reliability assessment from the point of view of investors and traders. The definition of the reliability of cryptocurrency and classification criteria is formulated. The following emphasizes how, using the support vector method, based on the available open data, it is possible to determine the reliability of Ethereum-based cryptocurrencies. As a result of testing, 15 reliable cryptocurrencies were identified and software was developed that allows you to collect and classify cryptocurrencies.
Vasavi Bande, Karu Prasada Rao, Sreenivas Mekala, T. Venkat Narayana Rao · 5 authors
A blockchain as a trustworthy and secure decentralized and distributed network has been emerged for many applications such as in banking, finance, insurance, healthcare and business. Recently, many communities in blockchain networks want to deploy machine learning models to get meaningful knowledge from geographically distributed large-scale data owned by each participant. To run a learning model without data centralization, distributed machine learning (DML) for blockchain networks has been studied. While several works have been proposed, privacy and security have not been sufficiently addressed, and as we show later, there are vulnerabilities in the architecture and limitations in terms of efficiency. In this paper, we propose a privacy-preserving DML model for a permissioned blockchain to resolve the privacy, security, and performance issues in a systematic way. We develop a differentially private stochastic gradient descent method and an error-based aggregation rule as core primitives. Our model can treat any type of differentially private learning algorithm where non-deterministic functions should be defined. The proposed error-based aggregation rule is effective to prevent attacks by an adversarial node that tries to deteriorate the accuracy of DML models. Our experiment results show that our proposed model provides stronger resilience against adversarial attacks than other aggregation rules under a differentially private scenario. Finally, we show that our proposed model has high usability because it has low computational complexity and low transaction latency.