In the 5G era, fog-enhanced smart logistics integrates fog computing, along with advanced network communication and information physics systems, into the integrated logistics system to achieve more intelligent and accurate package management and delivery. However, with the mobility of fog nodes, it increases the risk of data privacy leakages and the difficulty of access control management. To address this issue, this article proposes a privacy-preserving scheme with smart contracts and quadtree in 5G for fog-enhanced smart logistics, named PSCQ-FSL. This scheme is based on the logistics chain platform and achieves the generation, circulation, and processing of logistics data by executing preset smart contract algorithms. To protect user privacy, a fine-grained data encryption system has been used here, and precise access control of data is achieved through smart contracts. In addition, the logistics path selection algorithm based on quadtree is designed to ensure the efficiency and fairness of this scheme. Considering the characteristics of the logistics chain, we have improved the delegated proof of stake consensus algorithm to make it more suitable for the proposed scheme. The extended experimental results indicate that the proposed scheme is privacy preserving, secure, and efficient.
Historical advancements in science, Technology, transportation, and communication enabled the exchange of human civilizations, urged leisure and tourism growth, and stimulated economic and industrial development by shaping the development of modern cities. Traditional approaches for smart tourism management system had several challenges which includes, limited personalized recommendations, limited collaboration between stake holders, less robust security. Therefore, this paper proposes Smart Tourism Management System which is built on Java Enterprise Edition (EE)-Ethereum Virtual Machine (EVM) architecture. This application has a user-friendly front-end portal which provides tourists with features such as login, registration, personalized planning, and information on attractions and services. Then, the back-end portal is built which includes service registration, verification, secure wallet systems, booking, and payment processing. To guarantee security and transparency, the system incorporates smart contracts and block chain Technology by leveraging Java EE-EVM to interact with the block chain and execute logical operations. The proposed Java EE-EVM for smart tourism management system achieved better SDGs, SDG 8 achieved many indicators like T-1, T-2, T-3, T-4, T-5, T-6, T-7, T-8, T-9, TT-1, SDG 11 achieved important indicators like S-9, S-10, S-11, S-13, SDG 15 achieved relevant indicators are S-14, S-2, TE-3, TE-8 when compared with existing DMS-Java EE.
In recent years, many researchers have demonstrated that privacy acumen can be applied to healthcare applications to enhance patients’ life quality using Machine Learning (ML) and Deep Learning (DL). As far as we are aware, a tiny degree of patient privacy is contained in medical data, which necessitates extreme data protection against disclosure to intruders. In machine learning and deep learning, to build accurate system data pooling done at server, causes data breach, to overcome this issue, in 2016, Google proposed an idea to share learned models rather than sharing the data called Federated Learning (FL). In this systematic analysis, we lay out FL's primary objective concerning privacy. Afterwards, we presented the primary challenges in configuring and deploying federated learning networks and introduce algorithms within advanced federated learning architectures by integrating Convolutional Neural Networks (CNNs), a blockchain-based mechanism, and a non-fungible token (NFT) for the detection of various harmful diseases. moreover, we analysed the configuration settings, performances, Limitations of different algorithms against different datasets. Ultimately, we conclude this analysis by discussing optimization and communication challenges in future FL smart healthcare systems. We believe that reading this through can be beneficial for academicians, industry experts, and neoteric alike, providing them with direction and suggestion for their next endeavours.
Cryptocurrency being a digital or virtual currency that uses cryptography to secure transactions and control the creation of new units. Bitcoin, one of the most popular cryptocurrency, offers various advantages such as security, transparency, and efficiency. The value of Bitcoin can change over time, similar to the regular currencies, and the need to predict the value can be as important as those in the regular. The prediction can be done by multiple algorithms. The purpose of this research is to compare five algorithms in predicting bitcoin value based on Root Mean Squared Error (RMSE) and Squared Error (R2). The five algorithms compared can model the prediction of changes in the bitcoin cryptocurrency, effectively. Based on the experiment, Random Forest outperformed the other algorithms based on its RMSE and R2 result
Topan Try Harmanda, Muhammad Rafi Juliansyah, Karina Mayasita Handoyo, Aan Khunaifi · 11 authors
The e-ticketing system is a digital ticket sales and purchase system that changes the habit patterns of buyers and facilitates buyers in making ticket purchase transactions. The current e-ticketing system has several problems, such as the use of a centralized system that is vulnerable to data leakage, ticket fraud, and scalpers. Blockchain is a technology that can help overcome problems in the e-ticketing system. For this reason, we would like to review existing research on the application of blockchain in e-ticketing systems to provide an overview of the extent of the application of blockchain in e-ticketing systems. Through an analysis of 26 selected studies, our results show that there are four main research focuses on the application of blockchain in e-ticketing systems, namely ticket management & distribution, solving ticket fraud, solving ticket scalpers, and ticket payments. We found that Hyperledger and Ethereum are the most commonly used platforms and there is also the use of other technologies such as RFID, NFT, and self-sovereign identity that can improve the performance of blockchain in e-ticketing systems. Despite the promising benefits, challenges such as scalability, high transaction costs, the need for stakeholder collaboration, and the need for more extensive real-world testing. This study concludes by emphasizing the need for continued research and development to fully leverage blockchain's capabilities in revolutionizing the e-ticketing industry.
The Intelligent Transport System has made transportation more efficient. With available traffic information and 5G technology, cars can effectively transmit relevant information to other road users, such as congestion, environmental forecasting, and accidents. This information is vital to designing a fast and efficient means of transport. However, many people do not participate in the sharing of information, even depending on the possibility, because this means that a lot of personal information about the car and its owner must be provided. The information systems used so far could not solve these problems. However, in the case of vehicles authenticated in the blockchain, the personal data of the car owner will remain secret and will not be made public. Due to decentralization, trust is based on blockchain technology and not on personal and sensitive data. To this end, the research goal is to create a blockchain where ITS data can be safely stored. Since the registration data can be efficiently saved in the blockchain, a smart contract is created without any special knowledge of its use by the end user. A smart contract always requires a simple registration, which is recorded in the contract. The data specified in the contract are automatically saved in the blockchain, avoiding all “traditional” centralized data storage solutions, thereby increasing the safe storage of data.
Nedavni tehnološki razvoj utjecao je na turističku industriju, a jedna važna komponenta ovog pomaka bilo je usvajanje kriptovaluta. U ovom radu dan je uvid u razvoj i definiciju kriptovaluta, njihovu primjenu u turizmu te rezultate provedenih istraživanja o primjeni kritpovaluta u Republici Hrvatskoj. Od pojave kriptovaluta, za sektor putovanja i turizma bilo je ključno razmotriti mogu li se integrirati u svoje sustave plaćanja. U posljednjih deset godina kriptovalute su sve popularnije. Kriptovalute i blockchain tehnologija pojavile su se kao transformativne snage u različitim sektorima, nudeći jedinstvene pogodnosti i predstavljajući značajne izazove. Naime, kriptovalute putnicima pružaju sigurnu i učinkovitu alternativu u mogućnosti plaćanja bez upotrebe valute ili tradicionalnih bankovnih usluga. S druge strane, kriptovalute pružaju fleksibilnu i prikladnu opciju turističkim poduzećima za primanje uplata od putnika bez potrebe za tradicionalnim uslugama obrade plaćanja. Korištenje novih tehnologija imalo je više pozitivnih nego negativnih utjecaja na turizam, ali niti jedan nije potaknuo radikalnu promjenu. Općenito, turistička industrija tek treba dodatno poboljšati korištenje blockchain tehnologije u smjeru upravljanja kvalitetom usluga korisnicima. Iako kriptovalute i blockchain tehnologija obećavaju, one su još uvijek u početnoj fazi, s tekućim tehnološkim, regulatornim i društvenim izazovima.
This case study explores the evolution and strategic trajectory of Xiaohongshu, a pioneering social commerce platform in China. Founded in 2013 by Miranda Qu and Charlwin Mao, Xiaohongshu has redefined consumer engagement by seamlessly integrating social media with e-commerce functionalities. Initially conceived as an online guide for Chinese shoppers abroad, the platform quickly developed into a vibrant community where users share product recommendations, reviews, and lifestyle insights. Xiaohongshu's strategic pivot on social commerce in 2014 marked a significant milestone, enabling direct product purchases within its app and fostering a dynamic ecosystem of user-generated content. The case examines Xiaohongshu's growth trajectory, challenges such as counterfeit goods, and strategic initiatives, including influencer marketing and blockchain integration. With a focus on expanding its user base, enhancing e-commerce capabilities, and exploring emerging technologies like Web3, Xiaohongshu continues to shape the future of digital commerce in China's competitive market landscape.
Blockchain technology has transformed supply chain management due to its unprecedented security, transparency, and efficiency. This technology has also enabled businesses to track their products in real-time and make informed decisions about inventory levels. Anyone who involved in the supplychain needs to ensure that they provide reliable information about the product's handling, provenance, and quality. Supply chain operations have emerged as a complex and challenging business environment, but blockchain technology and consensus algorithms offer potential solutions. This study examines the intricate nature of consensus algorithms and their applications in supply chain management. The elementary objective of this study is to provide an extensive analysis of consensus algorithms, focusing on their important assessment factors, like trust, security, cost, and others, in supply chain processes using blockchain. By employing a systematic approach, we evaluate the fundamental consensus algorithms, including proof of authority, proof of stake, and some others. This study also assesses the respective platforms on which the consensus algorithms have been executed and the integration with the IoT's suitability for different domains of supply chain management.
Smart contracts are widely utilized in cross-chain interactions, where their results are transmitted from one blockchain (the producer blockchain) to another (the consumer blockchain). Unfortunately, the consumer blockchain often accepts these results without executing the smart contracts for validation, posing potential security risks. To address this, we propose a method for validating cross-chain smart contract results. Our approach emphasizes consumer blockchain execution of cross-chain smart contracts of producer blockchain, allowing comparison of results with the transmitted ones to detect potential discrepancies and ensure data integrity during cross-chain data dissemination. Additionally, we introduce the confirmation with proof method, which involves incorporating the chain of blocks and relevant cross-chain smart contract data from the producer blockchain into the consumer blockchain as evidence (or proof), establishing a unified and secure perspective of cross-chain smart contract results. Our verification results highlight the feasibility of cross-chain validation at the smart contract level.
Cryptocurrency is a digital asset created using blockchain technology and it has different properties from money that we have known such as US Dollar, Rupiah, Yen, etc. Right now, people use cryptocurrency as an investment instrument. However, choosing a cryptocurrency as an investment instrument is challenging because investors need to consider many attributes of a cryptocurrency project. Also, the number of cryptocurrencies is growing each day. Currently, there are at least 20,000 cryptocurrencies to choose from. Developing a recommender system can shorten investors' cryptocurrency screening process. The recommendation system uses Knowledge Graph Convolutional Network (KGCN). It is a model that effectively reveals the relationship between items by mining the attributes of the items in the knowledge graph. Thus, KGCN is suitable for creating a personalized recommendation. The cryptocurrency knowledge graph used in the study is based on the cryptocurrency dataset on the CoinGecko website crawled using its API. The output from the system is in the form of the top 3 cryptocurrency recommendations for specific users and AUC evaluation scores. The research results show that KGCN can provide relevant recommendation results based on investor's preferences up to 17.55% better evaluation scores compared to other models such as RippleNet.
With the increasing complexity of global procurement chains, the efficiency and security of financial information sharing have become key to improving procurement chain management. This study aims to explore the application of smart ledger in procurement chain financial information sharing, in order to improve transaction transparency, reduce costs, and enhance the synergy of the procurement chain. This article proposes a blockchain based procurement chain financial information sharing model, which utilizes the distributed ledger and smart contract characteristics of blockchain to achieve efficient information sharing and automated financial transaction processing. By constructing a simulated procurement chain environment, this article evaluated the performance of the proposed model, including transaction processing speed, system security, data consistency, operating costs, and user satisfaction. The experimental results show that smart ledger can effectively improve the efficiency of information sharing in procurement chain finance, enhance transaction transparency, reduce operating costs, and improve user satisfaction. The automatic execution feature of smart contracts reduces manual intervention and improves the efficiency and accuracy of contract management. Smart ledger provides an innovative solution for information sharing in procurement chain finance. The proposed model is theoretically feasible and effective in practice, which can significantly improve the operational efficiency and security of procurement chain finance.
The Internet of Things (IoT) has emerged as a promising technology for connecting physical objects and enabling communication between them. However, IoT faces several challenges such as security, privacy, and interoperability that need to be addressed before large-scale deployment. Blockchain has the potential to address these challenges due to its decentralized architecture, cryptographic security, immutability and consensus mechanisms. This paper explores the integration of blockchain technology with IoT for industrial applications. A cross-chain architecture is proposed to build a high-performance blockchain network customized for the needs of Industrial IoT (IIoT). The limitations of existing blockchain platforms like low transaction throughput are overcome by improvements in the consensus algorithm and employing a multi-chain structure. A proof-of-stake based consensus is implemented to achieve fast consensus and improve scalability. Cross-chain communication protocols are designed to enable interoperability between heterogeneous blockchains. The experimental evaluation demonstrates that the resulting blockchain network can achieve over 1000 transactions per second throughput per chain while maintaining decentralization, security and low latency. The cross-chain structure enables this performance to scale as the network expands. The paper provides comprehensive technical details of the various components of the blockchain platform including consensus, cross-chain communication and network structure. The designed blockchain architecture can potentially enable several IIoT use cases by enhancing security, accessibility, automation and coordination of industrial systems.
In recent years, with the rise of blockchain technology, smart contracts have also rapidly developed and applied in various industries. However, vulnerabilities in smart contracts can lead to serious consequences. When using current fuzz testing tools for vulnerability detection, a large number of test inputs are randomly generated, resulting in low code coverage due to high randomness. To address this issue, we propose a new adaptive genetic algorithm that combines the fuzzy testing process to generate a large number of test cases. We designed a fitness function for evaluating individual strengths and weaknesses in the adaptive genetic algorithm based on branch coverage and data dependency during the detection process. Based on the diversity and effectiveness of the current generated test cases, we dynamically adjusted the crossover and mutation probabilities during the algorithm execution process, gradually optimizing the quality of test cases in multiple testing iterations. According to the experimental results, the method proposed in this article has higher code coverage and vulnerability detection accuracy compared to other tools for detecting contract vulnerabilities.
Implementacija blockchain i NFT tehnologije u turizmu i ugostiteljstvu predstavlja novi pris-tup digitalnoj transformaciji u spomenutim sektorima, čime se pojavljuje potreba za istraživa-njem ove tematike. Temeljna tehnologija iza ovih pojmova, tzv. blockchian, tehnologija je poznata po kriptografskim blokovima koji osiguravaju siguran prijenos podataka čime je o-mogućen nastanak digitalnih decentraliziranih kriptovaluta i jedinstvene digitalne imovine koja se ne moze replicirati, tzv. NFT (Non-fungible token). U turizmu i ugostiteljstvu, ove tehnologije mogu revolucionirati način poslovanja, omogućiti bržu i sigurniju razmjenu in-formacija između dionika i time otvoriti prostor ka stvaranju inovativnih poslovnih modela. Završni rad analizira aktualne i potencijalne primjene ovih tehnologija, ističući ključne koristi i izazove koji proizlaze iz njihovog usvajanja. Analiza dosadašnje literature na ovu temu ot-kriva da su turizam i ugostiteljstvo među prvima prihvatili digitalne inovacije, prepoznavši potencijal blockchain tehnologije za unapređenje poslovnih procesa jer transformacija klasi-čnih centraliziranih sustava u decentralizirane blockchain platforme pruža dugoročnu konku-rentsku prednost tvrtkama u ovim sektorima. Empirijsko istraživanje provedeno anketnim upitnikom, pokazuje da su turisti donekle upoznati s blockchain tehnologijom, iako se rijetko susreću s njenom primjenom u turističkim iskustvima. Ipak, većina ispitanika pozitivno gleda na širu primjenu blockchain tehnologije u turističkoj ponudi, što ukazuje na veliki tržišni potencijal za daljnji razvoj i istraživanja. Međutim, postoji nekoliko izazova koji prate još uvijek nedovoljnu implementaciju ovih tehnologija, uključujući pitanja sigurnosti, regulacije i interoperabilnosti. Osiguravanje povjerenja korisnika i usklađenost s propisima ključni su faktori za uspješnu integraciju blockchain i NFT tehnologije u turistički sektor.
Existing environmental monitoring systems mostly adopt hierarchical centralized management methods, forming data islands. In terms of management and monitoring, human control factors are high, causing the ecological environment monitoring platform to fall into difficulties such as low data credibility, no traceability, and low security. Distributed ledger technology, as one of the core technologies of the blockchain, can disperse the confirmed data among multiple nodes for simultaneous consensus and give it a timestamp. It ensures the traceability and decentralization of data and avoids the occurrence of data islands and unreliable data during the environmental monitoring process. Combined with the characteristics of distributed ledger technology such as traceability, decentralization, non-tamperability, and openness, we explore its role in the ecological environment monitoring platform from various aspects such as environmental quality monitoring, resource management, behavioral supervision and restraint, and energy usage monitoring. feasibility, and pointed out the risks and challenges faced by distributed ledger technology in the application of ecological environment monitoring platforms. Assist in the design and construction of ecological environment monitoring platforms in the digital era.
In the era of sharing economy, the tourism market is increasingly characterized by personalized demand, mobile consumption and product segmentation. This paper aims to apply big data mining technology in the field of smart tourism. Firstly, it focuses on image summary selection and collaborative filtering technology based on big data mining. It then demonstrates the integration of blockchain in smart tourism, emphasizing the use of decentralized structures and smart contracts to achieve data security and transparency, and describes the testing process of smart tourism platforms, including data preparation and platform operational efficiency testing. Finally, the research results of this paper are summarized, and the development potential and practical application value of smart tourism are demonstrated. The results show that in the smart tourism big data mining model, the minimum support for the data set is 10 % and 20 %, respectively. Moreover, with the increase of the number of nodes in the same data set, the running time decreases gradually. It can be seen that smart tourism big data mining has strong scalability.
In the modern environment of information and communication technologies, the basic mechanisms of business and exchange of goods are based on electronic business and electronic business transactions. It is precisely with the development of new technologies that a new modern form of business opens as an alternative to traditional transactions: contracts in electronic form and smart contracts. Small and medium-sized companies in Croatia have found themselves at a turning point in the modern business environment and the transition from traditional contracts to electronic and smart contracts. Special attention is paid to the analysis of the relationship between smart contracts and existing legal standards, as well as to the question of which law is applicable to this type of contract. Therefore, in this paper, an analysis of the perception of managers of small and medium-sized Croatian companies about electronic and smart contracts, as well as their application in contractual business relations, was made through empirical research.
Analyzing social media trends can create a win-win situation for both creators and consumers. Creators can receive fair compensation, while consumers gain access to engaging, relevant, and personalized content. This paper proposes a new model for analyzing Bitcoin trends on Twitter by incorporating a 'liquid democracy' approach based on user reputation. This system aims to identify the most impactful trends and their influence on Bitcoin prices and trading volume. It uses a Twitter sentiment analysis model based on a reputation rating system to determine the impact on Bitcoin price change and traded volume. In addition, the reputation model considers the users' higher-order friends on the social network (the initial Twitter input channels in our case study) to improve the accuracy and diversity of the reputation results. We analyze Bitcoin-related news on Twitter to understand how trends and user sentiment, measured through our Liquid Rank Reputation System, affect Bitcoin price fluctuations and trading activity within the studied time frame. This reputation model can also be used as an additional layer in other trend and sentiment analysis models. The paper proposes the implementation, challenges, and future scope of the liquid rank reputation model.
Blockchain can not only record transactions, but also can be combined with smart contracts to record, run, and maintain valuable information. The application of blockchain in various fields is the development direction of smart contract, and its automation and editable features bring a wide range of application scenarios. In view of the working principle of smart contract and according to the requirement of data acquisition and management, the paper constructs a data management model of customer service system based on smart contract theory, it automatically performs data acquisition and management services, updates data status, and realizes the automation and standardization of data acquisition and management. It also constructs a simulation model based on the System dynamics simulation principle of the software of Anylogic, which the validity of the model is verified by mechanism. The model is of great theoretical and practical significance for exploring the data management scheme of complex system, establishing data acquisition, data validation and data interaction mechanism.
This paper explores the application of blockchain technology in improving the management and efficiency of logistics and transportation systems. By leveraging blockchain technology, real-time recording, traceability, data sharing, security, and trustworthiness of logistics information can be achieved, thereby enhancing the efficiency and safety of logistics operations. The paper discusses the theoretical foundations of blockchain technology and logistics and transportation systems, highlighting key concepts such as decentralization, distributed ledger, consensus mechanisms, smart contracts, operations research, supply chain management, and transportation economics. Additionally, the literature review presents an overview of existing studies on logistics and transport systems and blockchain technology, illustrating various applications and benefits, such as sustainable transport frameworks, transportation and logistics management models, smart logistics systems, and supply chain traceability platforms. In conclusion, the exploration of blockchain technology's application in logistics and transportation systems offers comprehensive support for improving logistics efficiency, reliability, and safety, promising more efficient and reliable transportation services for the logistics industry in the future.