Using Edge computing and Blockchain Technology to Enhance the Credit Risk Early Warning System to Realise Real time Prediction and Secure Transactions

This research explores the transformative role of blockchain technology in ensuring secure and trustworthy digital transactions. With the increasing reliance on digital platforms across industries such as finance, healthcare, and supply chains, blockchain has emerged as a solution to the challenges posed by traditional centralized systems, including data breaches, fraud, and lack of transparency. The study investigates blockchain's decentralized structure, cryptographic security features, consensus mechanisms, and smart contracts to evaluate how it enhances data integrity and trust in digital transactions. A qualitative approach was employed, utilizing case studies and a comprehensive review of existing literature. The results show that blockchain’s decentralization significantly reduces single points of failure, while its consensus mechanisms and smart contracts increase trust and automate transactions. However, challenges such as scalability, energy consumption, and regulatory concerns remain. The research highlights blockchain’s potential for transforming digital transactions but calls for further innovation to address these issues. The findings suggest that blockchain has the capacity to revolutionize secure transactions across various sectors but requires continued development to achieve widespread adoption and scalability.

Implementing blockchain technology in the Islamic finance sector, particularly in Islamic banking in Indonesia, holds significant potential to enhance transparency, efficiency, and security in transactions. However, its application still requires further research to ensure compliance with Islamic law principles. This study aims to analyze blockchain implementation in improving transparency, efficiency, and security in Islamic banking transactions while ensuring alignment with Sharia principles. A qualitative approach with a literature review is used, examining relevant sources on blockchain applications in the Islamic banking sector. The data for this study is gathered from scholarly articles, books, and related documents. The findings suggest that blockchain can improve transparency, reduce intermediaries, accelerate transactions, and enhance security. However, the primary challenge lies in adapting to Sharia regulations, which requires collaboration between regulators, financial institutions, and technology experts. Strengthening regulations and gaining a deeper understanding of this technology will support wider adoption in the Islamic banking sector.

This article focuses on the effectiveness of using cryptocurrencies as a means for international payments, with an emphasis on the analysis of cost, speed, and security of transactions. The aim of the study is to explore the potential of blockchain technologies to optimize international financial operations. This research considers the performance of cryptocurrencies in international payments, focusing on an analysis of cost, speed, and security of transactions, utilizing data from various sources and case studies. Blockchain technologiessuch as Ripple and Solana demonstrate high throughput, capable of processing up to 65,000 transactions per second (TPS).In comparison, traditional banking systems offer significantly lower processing speeds, withBitcoin handling around 7 TPS and Ethereum up to 15 TPS. The anticipated Ethereum 2.0 network upgrade projects an increase to 100,000 TPS, significantly enhancing their potential in international payments. Traditional banking transactions can incur fees of up to $50 USD, whereas blockchain networks can reduce costs to less than $0.01 per transaction. The implementation of distributed ledger technology could save up to $27 billion by 2030 on international transactions. According to research, the average cost of an international remittance is 6.4% of a $200 transaction, indicating the potential for significantsavingsthrough the adoption of cryptocurrencies. Cryptocurrency payments are protected using cryptographic methods and decentralization, reducing the risks of fraud and attacks. By adhering to "privacy by default" principles, transaction confidentiality can be further enhanced, including generating new addresses for each transaction. Regular security audits and multi-factor authentication provide an additional layer of protection. It can be asserted that blockchain technology offers significant advantages in speed, cost, and security of transactions, which could radically transform the landscape of international trade and financial transfers. The practical significance of the research lies in identifying the potential of cryptocurrencies as a reliable, cost-effective, and secure tool for international payments, which may alter the global money transfer system.

Blockchain technology has a potential benefit of becoming valuable asset in ferry transportation industry to increase safety, transparency, efficiency and meet increasing market demands in meeting safety and sustainability standards. This study aims to find the important role of blockchain technology in the development of ferry transportation. Two main approaches in describing analytical techniques include bibliometrics to find derivatives of blockchain technology concept, and analytical hierarchy process to obtain alternative priorities in the development of ferry transportation. Journal publications within last ten years obtained through searches on Google Scholar are used as the main data in developing scientific literature analysis. The results found that several alternatives play an important role in the development of blockchain technology applied to ferry transportation include data and transaction security, supply chain tracking, identity and access management, operational efficiency, regulatory compliance, interoperability with external systems, transparency and accountability. Three alternatives in developing blockchain technology are main priority in this study and potential to have high novelty value, including data and transaction security, operational efficiency and supply chain tracking. The results of study recommend that the operationalization of ferry transportation really requires the development of blockchain technology to encourage increased safety and sustainability of ferry transportation.

The safety and security of e-commerce transactions are critical in today's digital landscape, where cyber risks abound. Blockchain technology's decentralized, transparent, and immutable ledger system offers a viable solution to these concerns. This study investigates the use of Distributed Ledger Technology (DLT), specifically Decentralized Identifiable Distributed Ledger Technology (DIDLT), in conjunction with the innovative Blockchain Consent Algorithm (BCA), to improve the safety and security of e-commerce transactions. Secure data storage and retrieval in e-commerce can be achieved by accurate digital signature production, key generation, blockchain building, and validation. This paper investigates how DIDLT, which combines decentralized identity management with blockchain technology, and BCA, a cutting-edge consensus algorithm designed for blockchain environments, work together to protect e-commerce transactions from identity theft, payment fraud, and data manipulation. This paper throws insight into DIDLT and BCA's potential to transform the e-commerce safety and security market by providing an in-depth analysis of their implementation. Using the incorporated DIDLT-BCA model significantly improves the safety effectiveness of the network, resulting in 98% security, shorter performance times of as much as 150 milliseconds, and mining times of up to 0.98 s.

Letter of Credit (LC) transactions play a vital role in facilitating international trade, but are vulnerable to various forms of fraud such as forgery of documents and manipulation of information. In the banking context, ensuring the security of LC transactions is an urgent challenge. This research aims to investigate the potential of applying blockchain technology in improving the security of LC transactions and reducing the risk of fraud in the banking sector. This research is included in descriptive quantitative research. This research was conducted at Banks in DKI Jakarta. The population in this research are customers who use Letter of Credit transactions. The sampling technique in this research is purposive sampling so that in this research the research sample was 100 customers who used letter of credit transactions. The data analysis technique in this research uses Partial Least Square (PLS). The research results show that blockchain technology has great potential to increase the security of LC transactions through aspects such as high data security, transparency and auditability, as well as automation through smart contracts. With proper implementation, blockchain technology can help reduce the risk of fraud, increase operational efficiency, and build trust in international trade. This study contributes to the understanding of the potential application of blockchain technology in the global financial context and highlights the importance of cross-sector collaboration to address transaction security challenges.

Clinical nursing has many risks. In the actual evaluation of early warning, the threshold set by the system is fuzzy, which leads to too long response time when the early warning system is actually running. In response to this shortcoming, a clinical nursing based on support vector machine is designed. Risk assessment and early warning system. Design the risk evaluation signal formation hardware, combine the requirements of the early warning system, design the hardware connection circuit, use the C/S network architecture to obtain clinical care risk data, calculate the clinical care risk value, use support vector machines to set different levels of early warning thresholds, and finally Complete the design of the system. Two traditional risk assessment and early warning systems and the designed assessment and early warning system are used for experiments. The results show that the response time of the designed early warning system is the shortest.

In the current era of digital transformation, among the plethora of technologies, blockchain (BC) technology has attracted attention, carrying the weight of enormous expectations in terms of its applicability and benefits. BC technology promises immutability, reliability, transparency, and security of transactions, using decentralized models to scale up existing Internet of Things (IoT) solutions while guaranteeing privacy. In the energy industry, BC technology is mainly used to secure distributed power grids, which have proven to be easily hackable by malicious users. Recognizing the need for a preliminary analysis of the literature investigating the role of BC technology for sustainability and secure data management in the energy industry, this study conducts a bibliometric analysis, identifying the implications and research directions in the field. Specifically, a performance analysis and scientific mapping are performed on 943 documents using the Scopus database and the VOSviewer software version 1.6.20. The result is the identification of seven thematic clusters and the most relevant implications as well as future research actions at the strategic, technical, regulatory, and social levels. This study extends the literature by suggesting potential sustainability opportunities regarding BC technology adoption in the energy industry; it also supports managers in identifying strategies to strengthen business sustainability by leveraging the development of new knowledge for secure asset management.

Introduction: Early Warning Systems (EWS) are highly vital in the human health since they detect and intervene in the emergence of diseases. As the world health challenges change, now it is relevant to think of utilizing advanced technologies to improve the precision and performance of these systems and to take into account the implementation of Artificial Intelligence (AI), Big Data, and blockchain. This paper will be looking at the international initiatives that have boosted advancement in EWS, including integration of the most recent technologies and systems, including the WHO Early Warning, Alert and Response System (EWARS). Materials and Methods: The current research paper is a literature review on available literature, reports, and case studies, which are concerned with EWS efficacy as a means of detecting disease outbreak. Data have been gained with the help of the peer-reviewed journals, WHO publications, and the latest technological progress in AI, machine learning, and blockchain. In tandem with this, the qualitative investigation of the world health systems and technological amalgamations were carried out, and the achievements and challenges arising in various regions were likewise identified. The performance measures in EWS that include sensitivity, specificity and timeliness have also been compared in the paper. Findings: The findings indicate that the EWARS by WHO has been instrumental in enhancing surveillance and coordination of illnesses response across the globe. AI and Big Data analytics have improved the predictive nature of EWS to a large extent since more accurate predictions of disease outbreaks can be made. Blockchain technology has enhanced data security and transparency and as a result, this has resulted in trust accumulation between the stakeholders. However, the data quality and integration as well as the privacy and lack of resources continue to be a problem, especially in low-resource settings. To overcome these obstacles, upcoming technology is immense such as AI-based real-time analysis and distribution of information through blockchain. Future Direction: To address the current limitations of EWS, in the future, the use of more efficient machine learning models and further development of blockchain applications in the health data management should become a significant part of the matter. As the development of the global-based health activities is also in progress, the global organizations, governments, and technology offered will be of vital importance in the future of scalable and flexible Early Warning Systems, at least in terms of collaboration. The resolution of these problems and the introduction of the technological inclusion will contribute to making EWS more flexible and providing it with more efficient tools to manage health risks at the global scale. Keywords: Early Warning Systems (EWS), Artificial Intelligence (AI), Big Data, Blockchain Technology, Disease Outbreak Detection, Global Health Initiatives, WHO Early Warning, Alert and Response System (EWARS), Machine Learning, Data security, predictive analytics, Health Surveillance.

This study is aimed at covering the application of blockchain technology (BCT) in the Indian banking sector and its benefits in banking operations. This paper covers the challenges it faces in implementing blockchain technology. The paper highlights how BCT is addressing key issues such as speedily and securely transmission of data, value to and from various transaction partners, cost of processing payments, new products, and services creation. The paper also covers various advantages brought out by BCT such as automate verification process and eliminating the need for multiple parties to confirm manual validity of transactions. With the advent of BCT, India’s banking and financial systems can be expected to transform the banking process to a new level. This study covers the field investigation as to how existing BCT is helping banks to effectively and efficiently monitor and control the banking process. The respondents were leading banking institutions and FinTech firms in the country. The study result shows that some of the Indian banks have already started their journey in using BCT and they got the benefits. However, they are facing certain challenges in the adaptation and implementation of this new technology. The legal and standardization issues need to be looked into with regards to jurisdictions in cross border transactions and interoperability between different BCT systems. Banks are currently using permission based BCT solutions for very defined (small) eco-system because of the data security reasons. It is like but not exactly the ‘WhatsApp’ group system wherein an administrator decides on membership of the group. However, for each bank, the considerations will differ for the ecosystem required to deploy the BCT solution. The study covers only leading banks and FinTech companies in the country and smaller players in the banking sector. In India financial institutions are at various stages of BCT adoption. They have already seen the benefits of BCT in some processes where BCT is put into use. With time to come with full implementation, BCT will change the picture of banking in India. With BCT the banking processes will be more transparent, faster and cost-effective with elimination of intermediaries. The key benefits will be decentralisation, trust, and security in transactions.

This study aims to explore the impact of blockchain technology on enhancing transparency and security in financial transactions within the entrepreneurial ecosystem. A qualitative research approach was utilized, employing semi-structured interviews with experts and practitioners in the field of blockchain and finance. The data were analyzed through thematic analysis to identify key themes and categories. The study identified five main themes: Transparency in Transactions, Security of Transactions, Impact on Entrepreneurship, Adoption and Challenges, and Technological Infrastructure. Each theme encompasses various sub-categories and concepts highlighting the potential benefits and challenges of implementing blockchain in financial transactions. Blockchain technology offers significant opportunities to enhance transparency and security in financial transactions. However, widespread adoption is contingent upon overcoming technical and regulatory challenges. Future research should focus on developing practical strategies for blockchain integration into various sectors.

The problems faced by subway stations in the construction process are more complex than those by overground buildings. Therefore, the construction risk for such structures is highly unpredictable and the risk management is difficult. Building information modeling (BIM) technology has strong visualization, simulation, and integration characteristics that make it conducive to the development of a risk early warning system for underground engineering. According to the functional requirements of risk early warning for subway stations, a risk early warning system based on a BIM real‐time construction model is designed in this study for a subway station construction. The operation process of the risk early warning system is established through the grey prediction method to propose the operation method of the early warning system. The early warning system is applied to the Xiangjiang New Town Station of Changsha Metro Line 4 in China to verify its feasibility.

This study investigated the possibility of applying blockchain technology to Islamic financial engineering products in Saudi Islamic banks, focusing on the case study of Al Rajhi Bank. It aimed to study and evaluate the feasibility and possibilities of applying Blockchain technology to Islamic financial engineering products in Saudi Islamic banks. It also sought to identify the challenges and potential benefits of this application, as it clarified what Blockchain technology is and its most important features, which include increasing transparency, security, and efficiency in conducting finance transactions. Islamic financial engineering and its various most important products based on blockchain technology were also reviewed. This study used a qualitative analytical approach by collecting data from relevant books, magazines, and studies and qualitatively analyzing the content of documents related to blockchain technology at Al Rajhi Bank. This study reached several results; The possibility of using Blockchain technology in developing and implementing Islamic financial engineering products in Saudi banks achieves transparency and security of transactions and reduces operational costs. Al Rajhi Bank achieved positive results when applying the initial basics of Blockchain technology in some of its Islamic products, such as financing. Real estate and international money transfers, reducing operational risks, fraud, human errors, and operational costs in the long term. The study also recommended establishing a specialized work team to develop and implement Blockchain applications in Islamic financial products, including experts in Islamic financial engineering, Blockchain technology, and banking systems, coordinating with regulatory and supervisory bodies to ensure legislative and Sharia compatibility, and conducting further research on the Sharia and regulatory aspects of Blockchain application in this field.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan's health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

In this article, we will look at how blockchain technologies can be used to increase transparency and security of financial transactions. We will look at examples of the use of blockchain technologies in the banking and insurance industry, and also consider how the use of blockchain technologies can help accounting and auditing. In the first part of the article, we will consider the use of blockchain technologies in the banking industry. We will look at examples of using blockchain technologies to ensure the security and transparency of financial transactions, including for money transfers, loans and securities management. In the second part of the article, we will look at the use of blockchain technologies in the insurance industry. We will look at how the use of blockchain technologies can help reduce the costs of authentication and information processing in insurance companies, as well as ensure faster and more accurate consideration of applications for payments. In the third part of the article, we will consider the use of blockchain technologies in accounting and auditing. We will look at examples of using blockchain technologies to simplify the audit process and increase its transparency, as well as to ensure the accuracy and timeliness of accounting statements. So, blockchain technologies represent a new tool that can help improve accounting and financial management processes, providing more transparent and secure financial transactions. In the following parts of the article, we will take a closer look at how blockchain technologies can be used in various industries and what benefits they can bring.