As a distributed approach to problem solving, crowdsourcing reduces costs and efficiently utilizes resources. While blockchain technology is introduced to solve the problem of over-centralization in traditional crowdsourcing platforms, its transparency brings the risk of privacy leakage. The traditional anonymous authentication can hide the userโs identity, but the anonymity is abused, and the worker selection gets more difficult. In this study, a decentralized accountable attribute-based authentication scheme is proposed and combined with blockchain to design a novel crowdsourcing scheme. Using decentralized attribute-based encryption and non-interactive zero-knowledge proof, the scheme protects the privacy of usersโ identities with linkability and traceability, and the requester can devise access policies to select workers. In addition, the scheme improves the security of the system by implementing attribute authorization authority and tracking groups through the threshold secret sharing technique. Through experimental simulation and analysis, it is demonstrated that the scheme meets the requirements of time and storage overhead in practical application.
Innovation in Digital Healthcare Systems
Internet of Things and Social Network Interactions
The Internet of Things (IoT) is in a recent state of instability due to the flooding of virtual data. It is believed that IoT and cloud computing have met their maximum thresholds and loading them with data after this point will only deteriorate their performance. Hence, edge computing has been introduced to mitigate the processing burden of IoT. To meet the security demands of edge computing, we intend to combine the method of blockchain along with edge computing for a better solution. Accordingly, this paper proposes the introduction of a novel blockchain model that is based on artificial neural networks and trust estimation called the behavioral monitoring trust estimation model. Performance metrics such as accuracy, precision, recall, and F-measure are calculated under normal conditions and under the injection of attacks like false data injection, booting attack, and node capturing. The proposed behavioral monitoring trust classification model is compared with existing classifiers like Naive Bayes, K-nearest neighbor, Auto Encoder, Random Forest, and Support Vector Machine, and is found to have improved performance. Additional evaluation parameters like execution time, encryption time, storage cost, computational overhead, energy efficiency, and packet drop possibility are also calculated for the proposed model and compared with existing blockchain techniques of Bitcoin, Ethereum, Hyperledger, Direct and indirect trust model, and mutual trust chain based blockchain model. The proposed model achieved an accuracy of 95%, a precision score of 90%, a recall score of 94%, and an F-measure of 94% indicating superior performance.
Internet of Things and Social Network Interactions
Under the goal of peaking carbon emissions and achieving carbon neutrality in China, reliable carbon emissions in industrial parks have become a key focus of monitoring and calculation. There are still doubts about the authenticity of uploaded information, cumbersome data accounting processes, and difficulties in storing and tracing data in current carbon emission monitoring. This article constructs a trustworthy blockchain-based monitoring model for park carbon emissions. The model considers the business characteristics of park carbon emissions, uses blockchain distributed ledger as the underlying architecture, designs a key data trustworthy storage mechanism, and realizes online verification, accounting, and warning of carbon emissions indicators considering user green electricity consumption through smart contracts. The model builds a blockchain-based trusted monitoring platform for carbon emissions through the linkage mechanism of underlying trusted technology, distributed storage technology, and smart contract optimization, achieving efficient, transparent, and traceable dynamic monitoring of carbon emission data.
Energy and Environmental Systems
Internet of Things and Social Network Interactions
Elections are an essential process for securing public opinion and legal justification in a democratic society. In the case of the Republic of Korea, a rigid electoral culture was established during the military dictatorship, which caused many electoral systems to become unilateral. However, as times have changed, various means of communication between candidates and voters have been newly introduced, and various ways to lower election costs and actively promote election activities have been attempted. Among them, the introduction of the use of social media reflects the transition from group focus to individual focus and from one-sided publicity to active election campaigns through interaction between candidates and voters. In this study, we present examples of election campaigns using the recently developed NFT(non-fungible token) as part of promoting the election atmosphere and encouraging the supporters of each party's presidential candidates to participate in the vote. The HOK (House of Kard) was a tournament project that used NFTs for the advance voting of candidates in the 20th Korean presidential election. In each round, the candidate-'sโ NFTs were presented with a new concept. The HOK project presented NFTs in graphic form as entertainment elements called league matches based on the presidential election. Consumers with NFTs tried a virtuous cycle structure where they could choose candidates they support or cards with a high probability of winning for various reasons, and small sales were attempted to increase the NFT value for owners who support and sponsor them. The HOK project had the goal to promote a new way of lighthearted participation in the presidential election away from the rigid election culture of the past, and became one example of the various NFT applications that may be attempted in the future.
Social Media and Politics
Internet of Things and Social Network Interactions
The hyperledger fabric is a modular blockchain framework used by private companies to develop blockchain-based products, solutions, and applications using plug-and-play components. The smart contracts operating in this framework is created by implementing a chaincode. When implementing a chaincode, there may be a security weakness inside the code, which is the root cause of the security vulnerability. However, when the contract is completed and the block is created, the chaincode cannot be arbitrarily modified, so the security weakness must be analyzed before execution. This paper conducted a study on chaincode intermediate code generation for security weakness analysis of chaincode operating in hyperledger fabric blockchain framework. Analysis of security weaknesses at the source code level is not easy because the code logic is not clear and the complexity is high. On the other hand, security weakness analysis at the intermediate code level is easy to analyze because the code logic of the source code is clearly represented and the complexity is lower than that of the source code.
๋ณธ ๋ ผ๋ฌธ์ ์ฌํ์ ๊ฒฝ์ ํ์ฑํ์ ํนํ ์ฌํ์ ๊ฐ์น์ ๊ณผํ์ ์ธ ํฉ์์ ๊ธฐ์ดํ ๊ฑฐ๋๋ฅผ ์ํ์ฌ ์ฌํ์ ๊ฐ์น๊ฑฐ๋์(SOVEX: Social Value Exchange)์ ์ค๋ฆฝ๊ณผ ์ด์ ๊ฐ๋ฅ์ฑ์ ๊ณ ์ฐฐํ๋ค. SOVEX๋ ์ฌํ์ ๊ฐ์น์ ์ด์ ์ ๋๊ณ ์ธํฐ๋ท์ ์ด์ฉํ ์๊ฑฐ๋์ ํฌ์๋ฅผ ํ ์ ์๋ ํ๋ซํผ์ด๋ค. SOVEX๋ ๊ฑฐ๋๋น์ฉ์ ์ค์ด๊ณ ์ฐธ์ฌ์๋ค์ ์ดํด๋ฅผ ๊ทน๋ํํ๊ธฐ ์ํ์ฌ ๊ฐ์ธ๊ฐ ์ง์ ๊ฑฐ๋(peer to peer)๋ฅผ ์ง์ํ๋ค. SOVEX๋ ํ์ค์ํ๋ ๋ธ๋ก์ฒด์ธ ๊ธฐ๋ฐ์ ํ๋ซํผ์ ์ฃผ์ ๊ฑฐ๋๊ธฐ๋ก์ ์ ์ฅํ๊ณ ์ํธ์์ฐ์ ์ด์ฉํ ํ์ค์๊ธ์ต(DeFi: decentralized finance)์ ๊ธฐ๋ฐ์ผ๋ก ์ฌํ์ ๊ฒฝ์ ๋ฅผ ์ง์ํ๊ธฐ ๋๋ฌธ์ ์ฌํ์ ๋ํ์ด(Social DeFi)๋ผ๊ณ ๋ณผ ์ ์๋ค. SOVEX์์ ๋ฐํํ๋ ์ํธ์์ฐ์ ์ํ๊ณ์ ์ฌํ์ ์๋ณธ(social capital)์ ๊ฐ์น์ ์ฐ๋๋๊ฒ ๋์์ธํ ์ ์๋ค. ๊ทธ๋์ ์ํ๊ณ ๋ฐ์ ์ ์ธ๋ถํจ๊ณผ๊ฐ ์ดํด๊ด๊ณ์ ์ ์ธ๊ตฌ์กฐ(incentive structure)์ ์ฐ๊ด๋์ด ๋๋์ ํด์ด๋ฅผ ์ค์ด๊ณ ๋ธ๋ก์ฒด์ธ์ ํฌ๋ช ์ฑ์ ํ์ฉํ์ฌ ์ ๋ณด์ ๋น๋์นญ์ฑ์ ์ํํ๋๋ก ๋ ธ๋ ฅํด์ผ ํ๋ค. SOVEX๊ฐ ์ฑ๊ณตํ๊ธฐ ์ํด์๋ ํ๋ซํผ ์ ๋ต์ด ํ์ํ๋ค. ๋ฐ๋ผ์ ํ๋ซํผ ์ด์์๋ก์์ ๋น์์ฅ์ญ๋์ด ๋งค์ฐ ํ์ํ๋ค. ํนํ ๋ชจํธํ ๊ด๋ จ ๋ฒ๋ฅ ํด์๊ณผ ๊ฐ์ , ๊ทธ๋ฆฌ๊ณ ์ดํด๊ด๊ณ์๋ค๊ณผ์ ์ํต์ด ๋งค์ฐ ์ค์ํ๋ค. SOVEX๋ฅผ ํตํ์ฌ ๋ธ๋ก์ฒด์ธ์ ํตํ ์ฌํ์ ๊ฒฝ์ ํ๋์ ์ฑ๊ณต์ ์ด๋ฃจ์ด ๋ธ๋ค๋ฉด ์ด๋ ๋ค์ ๊ตญ๋ด์ ๋ธ๋ก์ฒด์ธ ๊ฒฝ์ ํ๋์๋ ์ ๋น์ฑ๊ณผ ์์ ๊ฐ์ ๋ถ์ฌํ๊ณ , ์ ๊ณ์ ๊ท์ ๊ธฐ๊ด์ ์ด๋ฅผ ๋ฐํ์ผ๋ก ์ ์ํ ํ์ ๊ตฌ์กฐ๋ฅผ ๋ง๋ค ๊ฒ์ผ๋ก ๊ธฐ๋ํ๋ค. In this paper, we outline the possibility of a social value exchange (SOVEX) that can engage in trading that is of social value, and which can stimulate growth in the social economy sector. SOVEX is an envisaged online platform that could engage in trading and investments that are of social value. In order to reduce the transaction costs and enhance the understanding of participants, SOVEX would operate on the basis of a peer to peer (P2P) system. It could also be called a system of social decentralized finance (DeFi) because it would use decentralized blockchain to store transaction data. It is possible to design the cryptoasset that would be issued by SOVEX so that it could reflect the value of social capital in the social economy ecosystem. Then, moral hazard could be minimized through the incentive structure created by the exchange, while information asymmetry would be mitigated through the transparent nature of blockchain technology. This paper concludes by emphasizing the non-market capability of the exchange operator, since new legislation and communi- cation on the part of SOVEX with various stakeholders to ensure productive regulations come about would be essential.
Innovation in Digital Healthcare Systems
Technology and Data Analysis
Internet of Things and Social Network Interactions
During the past few years, blockchain technologies have attracted substantial attention from researchers, engineers, and enterprises. These technologies provide decentralized platforms to validate different types of transactions without relying on a central authority. Since the advent of the popular Bitcoin network [2], [3], various types of protocols, among them DAG-based distributed ledgers, have been offered to improve the Bitcoin networks shortcomings in the areas of scalability, throughput, and security. Researchers have also been motivated to study blockchain-based applications across multiple domains with novel designs and capabilities [4]. However, when used in such capacities, failures of blockchain networks (BNs) imply catastrophes that extend beyond individuals, organizations, and countries [5]. In light of such mission criticality, the vision of turning BNs into decentralized transaction processing systems that can sustainably and securely compete with the centralized state of the art poses substantial methodological challenges for researchers [5]. Before considered for wide adoption, BN protocols and technologies must be assessed with different analytical and empirical methodologies. In this research, a novel DAG-based distributed ledger, the Tangle, has been studied and several of its features have been investigated through simulation analysis. Contributions of this research are two-fold. First, a Tangle simulator has been designed and implemented based on model-oriented design and development principles. Second, three important characteristics of Tangle networks including scalability, throughput, and their security against double-spending attacks have been investigated.
Innovation in Digital Healthcare Systems
Internet of Things and Social Network Interactions
In this paper, We studied the operation of distributed ledger technology used as a core technology for smart contracts and the components of distributed ledger technology. As a solution applying the entity of distributed ledger technology to NoE, we proposed the protocol of the distributed ledger technology using the thing user social group management function of NoE protocols being standardized in ISO/IEC JTC1 SC6. The management function of things user social group in NoE provides stable protocol functions and data transmission management, and provides group management functions such as member discovery function and data transmission channel management function. It is expected to be useful for member management functions of distributed ledger nodes by providing a service that apply the component of distributed ledger technology. We intend to actively reflect this technology in the future network functions of ISO/IEC JTC1 SC6, which is undergoing standardization.
Open access
Caching and Content Delivery
Internet of Things and Social Network Interactions
Intelligent space is an environmental robot system where many intelligent sensor nodes are distributed for supporting humans and mobile robots. This paper introduces a blockchain-based sensor network system for the intelligent space. Blockchain is a system for distributed ledgers of crypto currencies such as bitcoin. Recently, blockchain is considered to be effective for construction of distributed sensor network systems without central servers. In this paper, a prototype sensor system with blockchain based on Ethereum is introduced for intelligent space.
Open access
Innovation in Digital Healthcare Systems
Robotics and Automated Systems
Internet of Things and Social Network Interactions
The conventional electric power system is a unidirectional configuration that delivers electricity to the consumer in the power plant, but as the prosumers emerges, microgrid technology that enables bi-directional configuration has been developed. By applying the data distribution processing technology called the blockchain to the microgrid, time and cost can be saved compared with the conventional microgrid system. Through the related research, we analyze the structure of the microgrid and the utilization of the blockchain, study the pros and cons of applying the public blockchain and the private (consortium) blockchain, and propose the possible scenarios.
Caching and Content Delivery
Energy and Environmental Systems
Internet of Things and Social Network Interactions