The quality of medical services is improved by sharing electronic medical records (EMRs) across multiple medical institutions via cloud edge. However, EMRs contain private information about patients, and cloud servers are untrustworthy, thus they cannot be shared arbitrarily among senders and receivers. Access control encryption (ACE) is a preferred technique that produces encrypted EMRs and then restricts the capabilities of both senders and receivers to enforce the EMR flow via sanitizers. However, existing cross-domain ACE schemes employ a single sender authority to issue encryption keys for senders, which suffers from single point of failure and encryption key escrow that the sender authority can public EMRs arbitrarily. Moreover, they only support coarse-grained access structures such as AND gates, which is not suitable for flexible EMR sharing among medical institutions. To this end, we propose a cross-domain inner-product ACE (CD-IPACE) scheme that features decentralized encryption key generation and fine-grained access structures. Specifically, we construct CD-IPACE from inner-product encryption, threshold structure-preserving signature instantiated with a distributed key generation protocol, and non-interactive zero-knowledge proof, which prevents individual sender authorities from sending ciphertexts, and also protects both data and receiver privacy. Then, we design a secure EMR flow system in cloud edge named ESFlow based on CD-IPACE, which employs edge nodes as sanitizers to check encrypted EMRs and discard illegal ones. Finally, we demonstrate the security and practicality of ESFlow via formal security analysis and extensive experiments.
Recommender systems are widely used in domains such as movies, music, and e-commerce. Non-Fungible Tokens (NFTs), introduced through blockchain technology, have become a remarkable research topic due to their technological characteristics such as uniqueness, proof of ownership, immutability, and traceability. They are used in various fields such as art, finance, and education. However, research on NFT recommendation systems remains limited. NFTs introduce unique challenges due to their high sparsity of user-item interactions, diverse data types such as images, textual information, and transaction data, and blockchain anonymity, which leads to a lack of demographic and score data. These factors complicate the development of personalized recommendations. In this study, a personalized recommendation system for NFTs was developed using deep learning methods, leveraging the distinctive technological features of NFTs and addressing the challenges of the NFT domain. The proposed model, named NFT-NCFAE, utilizes Neural Collaborative Filtering (NCF) to capture user-item interactions and employs AutoEncoder (AE) to integrate diverse NFT-related data, such as images, text, prices, and transaction history, alongside user data. To evaluate the specific contribution of the AE within the developed model, an additional analysis was conducted using only NCF, focusing on user-item interactions without incorporating additional NFT-related data. Both models were tested on a dataset utilized in a previous study from the literature, and the results were thoroughly evaluated. The findings indicate that the NFT-NCFAE model outperforms both the existing study in the literature and the NCF model. Consequently, the NFT-NCFAE model has the potential to contribute significantly to the development of personalized NFT recommendation systems.
The need for more people in the world to connect with one another via use of networked computerized distributed information systems is on the rise in different sector as well as in the medical sector.With many medical information systems being complex and private owned, networking such systems to aid interoperability in order to allow secure sharing of the electronic medical records remains a challenge.This calls for secure connections of different medical system platforms that will aid easy and timely sharing of electronic medical records across different medical facilities.Distributed ledger technologies such as enhanced blockchain is one of the such technologies that when implemented in the healthcare sector have ability to support secure sharing of electronic medical records.The study used exploratory and a survey-based descriptive research design.Information was gathered through both a literature review and a questionnaire survey involving a sample of twenty (20) companies specializing in the development of medical systems software.For this survey, two (2) domain experts from each company were purposefully selected as respondents, totaling forty (40) respondents.The response rate was substantial, with seventeen (17) companies participating, contributing a total of thirtyfour (34) domain experts, representing an 85% response rate.The aim of the study was to explore the factors that are hindering secure interoperability and sharing of electronic medical records across different medical systems.The findings revealed that technical factors like data formats, syntax, organization and protocols are the factors affecting structural interoperability levels while data meaning, models codification schemes and data definition standardization are the factors affecting semantic interoperability.Other factors include financial, organizational, human, cultural, security and privacy.The study proposes integration of Distributed Ledger Technologies (DLTs) into the medical systems to mitigate the factors that affect secure interoperability of medical systems and to enhance secure sharing of electronic medical records (EMRs) across medical systems.
In this paper, a blockchain-based platform of NFT(Non-Fungible Token) reports was proposed to ensure the reliable performance contents of field study trip. It is possible to identify and manage the personal multi biomeric authentication user ID of activity records for students in a mobile IP-based metaverse with the linkage of extended reality(XR). At this time, many quests and incentives of platform are provided to induce students to experience smart and fun field studying facilities by linking real trip experiences and virtual extended_reality studies in the metaverse interworking.
Diverse Topics in Contemporary Research
Technology and Data Analysis
Diverse Approaches in Healthcare and Education Studies
As the utilization value of personal information increases, discussions on how to provide personal information are active, but information required by institutions to utilize personal information is being exposed more than necessary. Therefore, personal privacy protection is essential to overcome the problems and limitations of personal information protection. In this study, a decentralized identity information management model that overcomes the problems and limitations of the centralized identity management method of personal information and manages and selectively provides personal information by the information owner himself and demonstrates the excellence of personal information by implementing the Smart Personal Information Provision System (SPIPS) in the PBFT consensus algorithm through experiments.
Swarup Yeole, Mohammad S. Obaidat, Aditya Goel, Sanskar Chandra ยท 5 authors
Blockchain-based e-commerce NFT warranty system is a new solution that allows customers to receive digital warranty for their purchases on e-commerce platforms. The system is built using the Ethereum blockchain and uses non-fiscal tokens (NFTs) to set up and execute transactions. This project aims to solve the physical certificate management problem and the challenge of warranty tracking for customers and companies. With the NFT warranty system, customers can store the warranty in their connected digital wallet and easily send it to other users when selling. Also, companies do not need to manage services separately, as authentication and authorization are tracked by a blockchain-based system. The advantage of this project is that it provides a secure and transparent warranty system that prevents fraud and counterfeit products. Additionally, the use of NFTs ensures the authenticity and authenticity of all warranties, thus preventing competition or abuse of warranties. The project works by allowing companies to join e-commerce sites and add their vendors to generate NFT security tokens. When customers make a purchase, they receive a digital NFT warranty that they can use for warranty service. Warranty claims are recorded on the blockchain and can be tracked by both the customer and the company. The system also adds value to customers' purchases by allowing them to resell NFT-warrantied products. All in all, the blockchain-based e-commerce NFT warranty system is a cutting-edge solution that will simplify the warranty process for clients and customers. company. It offers an easy-to-use, secure and transparent warranty system and provides added value to customers.
This paper reviews the network security in 6G applied in various emerging technologies. The content of the paper discusses the 6G, which is expected to be merged with multiple sorts of slicing enabled by new technologies and paradigms to make the system more intelligent and safeguard the network infrastructure. This literature review was performed through a systematic review using a meta-analysis review to draw a conclusion. This paper identifies the issues and challenges of the 6G network and discusses the current research areas in network security, such as AI and DLT, which were found as solutions which can be employed for security at many cybersecurity protection and defense stages. The value of these technologies is based on the benefits of autonomy, increased accuracy, and predictive capabilities for security analytics. Additionally, this study compares which approach is the most viable solution to address network security issues. The researcher wants to investigate further 6G cloud computing for future work, addressed by centralized data centers accessed via the leading network.
Open access
Innovation in Digital Healthcare Systems
Technology and Data Analysis
Diverse Approaches in Healthcare and Education Studies
Non-Fungible Token (NFT) is a digital asset that cannot be exchanged or used, and uses Crypto currency values according to the type of digital money used, for example Bitcoin, Ethereum.The NFT Marketplace is a platform for buying and selling NFT like Tokopedia.This common problem is often encountered in e-commerce, especially in the NFT Marketplace, among other buyers often having difficulty finding products.This makes it difficult for the NFT Marketplace and sellers to promote products that match the preferences of potential buyers.A recommendation system that is very much needed in overcoming these problems, responding to these problems the author tries to make a recommendation system using the Content Based Filtering approach using the cosine similarity.The results of this study indicate that the Machine Learning model can provide Top-N recommendations from the product being sought.
Jan 1, 2023ยทProceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences
The purpose of the minitrack is to attract research on the innovation, design, development, management, and use of digital services and the digitalization of services.The key drivers in this area of research are the multiplying technological opportunities for digital services, such as ubiquitous connectivity, artificial intelligence, wearable devices, cyber-physical systems, Internet of Things (IoT), virtual/augmented reality, web3, and so on.The minitrack provides a discussion forum for researchers interested in theoretical and practical problems related to such services (Huang & Rust, 2013;Lusch & Nambisan, 2015).
Mangayarkarasi Ramaiah, Vasavi Chithanuru, Adla Padma, Vinayakumar Ravi
Industry 4.0 is a technology initiative intended to improve the efficiency of the task for the smart manufacturing industries. Industry 4.0 encompasses the trending technologies like the Internet of Things, Industrial Internet of Things, Artificial Intelligence, and Big Data analytics and comes up with their challenges while customizing it for the task. Trending smart technologies are no exception to being hacked by cyber security attacks. To facilitate automation, the interconnected devices need robust and intelligent security systems to prevent security breaches anticipated from the anonymous entity. Hence, a clear understanding of various security aspects of Industry 4.0 is very essential to prevent security attacks. This chapter attempts to highlight the possible security vulnerabilities anticipated for Industry 4.0 from its constituent key elements and the possible security solution using blockchain technologies.
Dessanin Ewรจdew Thierry Awesso, Marco Zolla, Alastair Marke
This chapter sets out the main functions of artificial intellgence (AI), Internet of Things (IoT) and distributed ledger technology (DLT) within the environmental sphere and how these technologies can be combined to create more effective climate solutions through weather-pattern prediction, increasing transparency and accounting, technical feasibility and carbon market resilience.
Theme, background and signal music is the music inserted into broadcasting contents of a broadcaster, and is recognized as a created content like normal music. Since there are lyricists and composers who have the rights of music, the copyright fee is distributed. However, there often occur problems with inaccurate monitoring results for theme, background and signal music usage due to the omission of usage details and non-transparent settlement method. In this paper, we propose a method of generating music usage monitoring information based on a blockchain, on which the usage information of music source is recorded by the usage monitoring tool based on the feature-based filtering technology of monitoring organizations. The framework proposed in this paper includes a blockchain network structure, a series of transaction procedures in which the theme, background and signal music usage history is stored and the recorded data format in the blockchain ledger. In the proposed framework, accurate music usage details can be created, details are stored in blocks without changes or omissions, and eventually transparent settlement and distribution are possible by processing smart contract, instead of previous non-transparent settlement practice.
The purpose of this study is how cryptocurrency service characteristics personal affect the continued intention to use. ETAM (Extended Technical Acceptance Model) model is validated as a theoretical background, selecting personal characteristics, system characteristics, cryptocurrency service characteristics, perceived usefulness, perceived ease of use, continued intention to use. The method of this study used questionnaire survey to collect 473 data on userโs perception on cryptocurrency services, and also performed a structural equation modeling method using by AMOS 23. The result of this paper shows that 7 hypotheses are accepted statistically significant except 5 hypothesis among 12 hypotheses. This research is concluded that innovation, convenience, security risk, and economic feasibility is affected on statistically positive impact on perceived ease of use, not statistically social impact reliability. In addition to this, convenience, reliability, economic feasibility is affected on statistically positive impact on perceived usefulness, not statistically innovation, social impact, security risk.