The increasing adoption of multi-cloud computing has created new opportunities for improving resource utilization, service reliability, and reducing dependence on a single cloud provider. However, the distributed nature of multi-cloud infrastructures introduces significant challenges in maintaining data security, privacy, and continuous service availability. This study presents a dynamic security framework designed for multi-cloud environments that integrates adaptive monitoring with a multi-layer encryption mechanism. The proposed approach intelligently selects suitable encryption techniques based on data sensitivity, file size, and available computing resources to achieve an optimal balance between security and performance. The framework Dynamic Resource Management Algorithm(DRMA) for secure key establishment, efficient symmetric encryption for protecting data, and zero-knowledge proof-based authentication to ensure secure user verification without revealing sensitive information. A comprehensive performance evaluation was conducted by comparing the proposed model with conventional RSA-based security approaches. Experimental results demonstrate improved computational efficiency, reduced encryption overhead, enhanced scalability, and stronger protection against unauthorized access. Furthermore, the framework provides resilience against both conventional cyberattacks and emerging quantum computing threats while maintaining efficient resource utilization. These findings indicate that the proposed solution offers a practical and secure approach for protecting data and improving the reliability of modern multi-cloud environments.
Background. Vaccine, as an irreplaceable means in herd immunization, is widely applied in prevention for communicable diseases. However, adverse impacts were frequently incurred by fake or expired vaccines in China. Given the necessity of vaccine anticounterfeiting, blockchain-based transaction platform could be practiced as a solution in addressing the issue; however, most of the available experiments focused on single-chain structured design with inventible limitations. Accordingly, exploration for the effectiveness and feasibility of mixed-chains structured platform for vaccine anticounterfeiting and tracing is essentially required. Methods. Both public chain and private chain were inserted in anticounterfeiting and tracing platform designing process, which were subsequently simulated in Ethereum environment. Results. By recording different information in public chain and private chain, partial information privacy protection requirements are realized. The transfer identification module realized the function of vaccine quality supervision and solves the problem of EPC label replication. Discussion. Compared with the traditional single-structured design, completeness information could be visited by all stakeholders in double-chain structure, including vaccine suppliers, National Medical Products Administration (NMPA), vaccine purchasers, and the vaccinated. Conclusion. Double-chain structured system for vaccine anticounterfeiting and tracing is more effective.
The fifth-generation (5G) network has special communication and security requirements including high reliability, low latency, precise automatic control, secure covert transmission, and evidence traceability. The 5G network combined with blockchain technology just meets this demand, so it is driving a rapidly growing volume of patent applications. This study proposes application scenarios, architecture diagrams, and patent analysis methods for blockchain-based 5G network technologies, beginning with a network architecture using mobile edge computing (MEC) and blockchain as independent platform components to solve MEC load pressure. In the patent analysis, a patent cluster map of blockchain-based 5G networks is proposed to analyze the intersection of technical application fields. The bottleneck period of technological development is presented for leading countries and enterprises in the technological development of blockchain-based 5G network, highlighting relative advantages and disadvantages. Specifically, to extract the core international patent classification (IPC) key technologies and their mutual interrelatedness, we use network topology analysis to establish an IPC network topology diagram through node global and local topology characteristics, thus revealing hotspots of IPC technology research and the characteristics of the technology relationship system. The findings provide a very useful reference for the formulation of government strategy to assist in the implementation and development of blockchain-based 5G network technologies for future smart cities.
In most websites, the online rating system provides the ratings of products and services to users. Lack of trust in data integrity and its manipulation has hindered fulfilling user satisfaction. Since existing online rating systems deal with a central server, all rating data is stored on the central server. Therefore, all rating data can be removed, modified, and manipulated by the system manager to change the ratings in favor of the service or product provider. In this paper, an online rating system using distributed ledger technologies has been presented as the proposed system to solve all the weaknesses of current systems. Distributed ledger technologies are completely decentralized and there is no centralization on them by any institution. Distributed ledger technologies have different variants. Among distributed ledger technologies, blockchain technology has been used in the proposed rating system because of its support for smart contracts. In the proposed online rating system, the Ethereum platform has been chosen from different blockchain platforms that have a public permission network. In this system, the raters cannot rate unless they submit a request to the system and be authorized to take part in the online product rating process. The important feature of the Ethereum platform is its support for smart contracts, which can be used to write the rating contract in the Solidity language. Also, using Proof of Authority consensus mechanisms, all rating transactions are approved by the surveyors. Since in the real Ethereum system, each rating transaction is sent to the network by the raters, some gas must be paid for each rating transaction. However, since this method is expensive, TestNet blockchain can be used in the rating system. Finally, the proposed rating system was used for rating the restaurants of a website and its features were tested.
In view of the new technologies and the creation of digital currencies that appear as a new paradigm and constitute an independent and fast alternative to supply financial transactions, as well as their growing use, it is necessary to create new mechanisms effective in order for the public authorities to inspect and tax these movements. A challenge is presented here in the face of the social paradigm arising from the individual search for less costly and more effective means, which allow greater autonomy in the management of financial resources. Keywords: Cryptocurrency-Bitcoins - Blockchain – Regulation
Naveed ur Rehman, Max Yap, Mujaddad Afzal, Abdul Rehman · 5 authors
This paper presents a model for assessing the financial viability of cryptocurrency mining setups powered by off-grid solar photovoltaic (PV) systems. The model considers the features of mining hardware, the network attributes, the price of virtual currency and the solar potential of the installation site, to predict the payback period of the investment in months. As a case study, the feasibility of mining using various state-of-the-art Application-Specific Integrated Circuits (ASICs) and Graphics Processing Units (GPUs), powered by PV installed in New Zealand has been investigated. The results show that for ASICs setups, the initial cost is very high compared to GPU setups. However, considering the best-performing cryptocurrencies, the payback period for ASICs is much shorter than for GPU setups. This work will help to improve the sustainability of cryptocurrency mining businesses by reducing their dependence on exhaustible energy resources and their impact on the environment.
Bitcoin is considered a cryptocurrency and a digital currency, the two most notable characteristics are decentralization and anonymity. Bitcoin has a variety of properties. It could play not only the currency function but also have certain commodity property. To some extent, it can also be seen as an alternative investment option. The price of Bitcoin has stayed at a high level since 2021, but with greater volatility and more obvious amplitude than before. With the risk and potential problems of Bitcoin, the possibility of whether Bitcoin would lead to a big bubble in the financial market has increased. Although the legal status of Bitcoin is varying and having unclear or constantly changing definitions in different countries, the government is strengthening supervision and regulation over digital currency and planning to issue state-controlled currency, which would narrow the space for Bitcoin. Therefore, the possibility that Bitcoin will end up in a bubble is growing. At the same time, it is becoming increasingly clear that Bitcoin would not eventually gain legal tender status, driven by a combination of government denial and a lack of real value.
Blockchain is one of the trending technology. It is a secured distributed public digital ledger that is programmed in order to record the information and keep it securely, the main purpose is to store the data securely and carry out the digital transactions safely. Blockchain technology use cryptography to achieve the security, where the data is encrypted. Blockchain is decentralized and distributed, brings the trust in the data, the data are collected in blocks and each block is connected with other block which makes it a chain hence it is known as blockchain. The main aim in Blockchain technology is to ensure the security to software used in technology, hence the testing phase plays an important role. Testing is mainly done to check block size, chain size, load, security, transaction of data, cryptographical data etc. The main objective of this paper is to ensure the importance of testing the Blockchain technology and different strategies used for testing to increase the security and trust of the technology.
Johannes Sedlmeir, Hans Ulrich Buhl, Gilbert Fridgen, Robert Keller
Zusammenfassung Der enorme Stromverbrauch von Bitcoin hat dazu geführt, dass in Wissenschaft und Praxis oft eher undifferenziert Diskussionen über die Nachhaltigkeit von Blockchain- bzw. Distributed-Ledger-Technologie allgemein geführt werden. Allerdings ist die Blockchain-Technologie bereits heute alles andere als homogen – nicht nur hinsichtlich ihrer Anwendungen, die mittlerweile weit über Kryptowährungen hinaus in Wirtschaft und öffentlichen Sektor reichen, sondern auch bezüglich ihrer technischen Charakteristika und insbesondere ihres Stromverbrauchs. Dieser Beitrag fasst den Status quo des Stromverbrauchs verschiedener Implementierungen von Blockchain-Technologie zusammen und geht dabei besonders auf das kürzlich erfolgte Bitcoin Halving sowie sogenannte ZK-Rollups ein. Wir argumentieren, dass Bitcoin und andere Proof-of-Work-Blockchains zwar in der Tat sehr viel Strom verbrauchen, aber bereits heute alternative Blockchain-Lösungen mit deutlich geringerem Stromverbrauch verfügbar sind und weitere vielversprechende Konzepte erprobt werden, die gerade den Stromverbrauch von großen Blockchain-Netzwerken in naher Zukunft noch einmal deutlich senken könnten. Daraus schließen wir, dass die Kritik am Stromverbrauch von Bitcoin zwar legitim ist, jedoch daraus nicht eine Energieproblematik von Blockchain-Technologie generell abgeleitet werden darf. In vielen Fällen, in denen mithilfe von energieeffizienteren Blockchain-Varianten Prozesse digitalisiert oder verbessert werden können, darf sogar per Saldo durchaus mit Energieeinsparungen gerechnet werden.
Abstract In this work, the issue of predicting the edge weight in Bitcoin network has been addressed by leveraging community structure that involves members who trust with each other in their transactions. The proposed model consists of two main stages; the first one is the detection of trusted Bitcoin communities by implementing Newman- Girvan algorithm. In the context, the attributes of node have been modeling in different ways to get different structure of communities each time. Secondly, prediction the missing edge weight based on the neighbors of edge-source in community. In other words, the trust values that pointed to edge-target by neighbors are averaged to represent the prediction of missing edge weight. Practically, the model has been evaluated using two real-world datasets; Bitcoin-OTC and Bitcoin-Alpha datasets. The experimental results explicate the effectiveness of the proposed model comparable with other methods, where the minimization percentage for Bitcoin-OTC dataset is 4% and 18% for all and partial edges respectively. As for Bitcoin-Alpha dataset are 0% and 30% for all and partial edges respectively.
Abstract Blockchain is the systematic integration innovation of distributed accounting, consensus mechanisms, point-to-point transmission, encryption algorithms, intelligent contracts and other technologies, providing a solution for information security and social trust in the Information Age. The principles, characteristics and deep thinking of Blockchain technology can promote thinking innovation and solve the existing obstacles, including the weak effectiveness of education activities, the burnout of education subjects and the lack of mutual trust in the field of ideological and political education. This paper focuses on analyzing the expanded application of Blockchain theory in ideological and political education. The fit of blockchain technology application of educational thinking innovation and value orientation is 0.928; there is a linear relationship, and after applying blockchain technology for one year, the difference between the students’ thinking tendencies and the six aspects of their performance, except for the desire for knowledge, is statistically significant (P<0.5) when compared with the situation of the students one year ago. In addition, it is emphasized that we should build Learn Ledger, promote the participation degree of education subjects, establish a new interactive trust mechanism and intensify endogenous incentives to promote the deep transformation of ideological and political education, enhance the effectiveness of educational content, expand the participation in educational activities, and strengthen the multi-subject trust-relationship reconstruction of ideological and political education.
Electronic money has evolved in one of the relevant ways to achieve electronic payment, that is, a form of payment with significantly lower online transactions.The idea for the development of the above has consolidated the segment of retaining all the favourable characteristics of cash while eliminating deficiencies.The paper purpose is to discuss the relevance of electronic money or alternative currencies, cryptocurrencies, and to present statistical processing the most 30 influential cryptocurrencies with an emphasis on the most popular cryptocurrency called Bitcoin.We elaborate on the main differences between the virtual currency and electronic money after we present the historical development of cryptocurrencies.In the end, we present the statistical and forecasting analysis of the most important cryptocurrencies.
Artificial intelligence (AI) has a limitation in that it is only in the passive cognition area, so its operating process is not transparent; therefore, the technology relies on learning data. Since raw data for AI learning are processed and inspected manually to assure high quality for sophisticated AI learning, human errors are inevitable, and damaged and incomplete data and differences from the original data may lead to unexpected outputs of AI learning for which processed data are used. In this context, this research examines cases where AI learning data were inaccurate, in terms of cybersecurity, and the need for learning data management before machine learning through analysis of cybersecurity attack techniques, and we propose the direction of establishing a data-preserving AI system, which is a blockchain-based learning data environment model to verify the integrity of learning data. The data-preserving AI learning environment model is expected to prevent cyberattacks and data deterioration that may occur when data are provided and utilized in an open network for the processing and collection of raw data.
Gulshan Kumar, Rahul Saha, William J. Buchanan, G. Geetha · 8 authors
A distributed and transparent ledger system is considered for various e-commerce products including health medicines, electronics, security appliances, food products and many more to ensure technological and e-commerce sustainability. This solution, named as 'PRODCHAIN', is a generic blockchain framework with lattice-based cryptographic processes for reducing the complexity for tracing the e-commerce products. Moreover, we have introduced a rating based consensus process called Proof of Accomplishment (PoA). The solution has been analyzed and experimental studies are performed on Ethereum network. The results are discussed in terms of latency and throughput which prove the efficiency of PRODCHAIN in e-commerce products and services. The presented solution is beneficial for improving the traceability of the products ensuring the social and financial sustainability. This work will help the researchers to gain knowledge about the blockchain implications for supply chain possibilities in future developments for society.
Blockchain is essential for cryptocurrencies, but its use is not limited to cryptocurrency. Blockchain can be used in a wide range of applications. Recently, many blockchain inventions and applications have been proposed, which have received considerable attention from academics, industry practitioners, and the government. However, few studies have analyzed the development of blockchain technology. In this study, a patent analysis of the U.S. patents of blockchain was conducted. With an analysis of 335 patents awarded, a profile of recent blockchain technology development was obtained. The results indicated that three-quarters of the U.S. blockchain patents were originated in the United States. Half of the awarded U.S. patents are from foreign origin, and the proportion of the blockchain patent originated in the United States is more extensive, which revealed that the United States is a leader in the blockchain technology. Furthermore, 14% of blockchain patents were awarded to IBM, indicating that IBM as a technology giant in the blockchain technology. Additionally, word cloud and N-gram were used to reveal the relevant terms and phrases used in the abstracts of blockchain patents.
With this product, my objective was to make cryptocurrency investments simple & profitable. This product operates via an easy to use website allowing customers to buy, sell, and invest in cryptocurrencies, and in stock markets, all in one single place. The vision was to make a product for the global financial system that is easily accessible to everyone. The costumer will first have to make investments in cryptocurrencies, then he/she can invest in share markets as per their needs. This product also has a built-in machine learning based stock prediction model which helps it’s users to decide which stock to invest in & when it is the right time to sell such stocks.
Yan Zhuang, Yin-Wu Chen, Zon‐Yin Shae, Chi‐Ren Shyu
BACKGROUND: Data coordination across multiple health care facilities has become increasingly important for many emerging health care applications. Distrust has been recognized as a key barrier to the success of such applications. Leveraging blockchain technology could provide potential solutions tobuild trust between data providers and receivers by taking advantage of blockchain properties such as security, immutability, anonymity, decentralization, and smart contracts. Many health technologies have empirically proven that blockchain designs fit well with the needs of health care applications with certain degrees of success. However, there is a lack of robust architecture to provide a practical framework for developers to implement applications and test the performance of stability, efficiency, and scalability using standard blockchain designs. A generalized blockchain model is needed for the health care community to adopt blockchain technology and develop applications in a timely fashion. OBJECTIVE: This study aimed at building a generalized blockchain architecture that provides data coordination functions, including data requests, permission granting, data exchange, and usage tracking, for a wide spectrum of health care application developments. METHODS: An augmented, 3-layered blockchain architecture was built on a private blockchain network. The 3 layers, from bottom to top, are as follows: (1) incorporation of fundamental blockchain settings and smart contract design for data collection; (2) interactions between the blockchain and health care application development environment using Node.js and web3.js; and (3) a flexible development platform that supports web technologies such as HTML, https, and various programing languages. Two example applications, health information exchange (HIE) and clinical trial recruitment, were developed in our design to demonstrate the feasibility of the layered architecture. Case studies were conducted to test the performance in terms of stability, efficiency, and scalability of the blockchain system. RESULTS: A total of 331,142 simulated HIE requests from accounts of 40,000 patients were successfully validated through this layered blockchain architecture with an average exchange time of 11.271 (SD 2.208) seconds. We also simulated a clinical trial recruitment scenario with the same set of patients and various recruitment criteria to match potential subjects using the same architecture. Potential subjects successfully received the clinical trial recruitment information and granted permission to the trial sponsors to access their health records with an average time of 3.07 seconds. CONCLUSIONS: This study proposes a generalized layered blockchain architecture that offers health technology community blockchain features for application development without requiring developers to have extensive experience with blockchain technology. The case studies tested the performance of our design and empirically proved the feasibility of the architecture in 2 relevant health application domains.
Self-sovereign identity (SSI) is considered to be a "killer application" of blockchain. However, there is a lack of systematic architecture designs for blockchain-based SSI systems to support methodical development. An aspect of such gap is demonstrated in current solutions, which are considered coarse grained and may increase data security risks. In this paper, we first identify the lifecycles of three major SSI objects (i.e., key, identifier, and credential) and present fine-grained design patterns critical for application development. These patterns are associated with particular state transitions, providing a systematic view of system interactions and serving as a guidance for effective use of these patterns. Further, we present an SSI platform architecture, which advocates the notion of Design-Pattern-as-a-Service. Each design pattern serves as an API by wrapping the respective pattern code to ease application development and improve scalability and security. We implement a prototype and evaluate it on feasibility and scalability.
As the largest public blockchain-based platform supporting smart contracts, Ethereum has accumulated a large number of user transaction records since its debut in 2014. Analysis of Ethereum transaction records, however, is still relatively unexplored till now. Modeling the transaction records as a static simple graph, existing methods are unable to accurately characterize the temporal and multiplex features of the edges. In this brief, we first model the Ethereum transaction records as a complex network by incorporating time and amount features of the transactions, and then design several flexible temporal walk strategies for random-walk based graph representation of this large-scale network. Experiments of temporal link prediction on real Ethereum data demonstrate that temporal information and multiplicity characteristic of edges are indispensable for accurate modeling and understanding of Ethereum transaction networks.
On October 25, 2019, senior Chinese officials conveyed the significance of blockchain to all sectors of society through the 18 th Collective Study of the Political Bureau of the Central Committee of the Communist Party of China. Blockchain is the distributed ledger that maintains a growing list of chronological blocks linked by cryptographic techniques. It is a combined innovation of peer-to-peer networks, cryptography, consensus protocols, smart contracts, etc., which offers tamper-resistance and traceability characteristics to solve trust issues (1-2).
Jin Wang, Wencheng Chen, Lei Wang, Yongjun Ren · 5 authors
With the development of the Industrial Internet of Things and the continuous expansion of application scenarios, many development bottlenecks have followed. Its data security issue has become an obstacle to its widespread application. It has attracted substantial attention from both academia and industry. Blockchain technology has the characteristics of decentralization, openness and transparency and non-tampering. It has natural advantages in solving the security of the Industrial Internet of Things. Accordingly, this paper first analyzes the security risks associated with data storage in the Industrial Internet of Things and proposes the use of blockchain technology to ensure the secure storage of data in the Industrial Internet of Things. In traditional blockchains, the data layer uses Merkle hash trees to store data; however, the Merkle hash tree not able to provide non-member proof, which makes it unable to resist attacks from malicious nodes in the network. To solve this problem, this paper replaces the Merkle hash tree with a password accumulator to provide member proof and non-member proof. Moreover, the existing accumulators have trapdoors and cannot be updated in batches, and unable to meet the blockchain’s expansion requirements. This paper presents an improved RSA accumulator and gives the definition of the accumulator. Finally, this paper uses RSA to construct a batch update accumulator scheme without trapdoor, and shows that the scheme is feasible through correctness and security
There is a potential in the field of medicine and finance of doing collaborative machine learning. These areas gather data which can be used for developing machine learning models that could predict all from sickness in patients to acts of economical crime like fraud. The problem that exists is that the data collected is mostly of confidential nature and should be handled with precaution. This makes the standard way of doing machine learning - gather data at one centralized server - unwanted to achieve. The safety of the data have to be taken into account. In this project we will explore the Federated learning approach of ”bringing the code to the data, instead of data to the code”. It is a decentralized way of doing machine learning where models are trained on connected devices and data is never shared. Keeping the data privacypreserved.