【Author】 Kong, Lingjun Chen, Bing Hu, Feng

【Source】DRONES

【影响因子】5.532

【主题类别】

区块链应用-实体经济-无人机领域

【Abstract】Mission-oriented UAV networks operate in nonsecure, complex environments with time-varying network partitioning and node trustworthiness. UAV networks are thus essentially asynchronous distributed systems with the Byzantine General problem, whose availability depends on the tolerance of progressively more erroneous nodes in the course of a mission. To address the resource-limited nature of UAV networks, this paper proposes a lightweight asynchronous provable Byzantine fault-tolerant consensus method. The consensus method reduces the communication overhead by splitting the set of local trusted state transactions and then dispersing the reliable broadcast control transmission (DRBC), introduces vector commitments to achieve multivalue Byzantine consensus (PMVBA) for identity and data in a provable manner and reduces the computational complexity, and the data stored on the chain is only the consensus result (global trustworthiness information of the drone nodes), avoiding the blockchain's "storage inflation" problem. This makes the consensus process lighter in terms of bandwidth, computation and storage, ensuring the longevity and overall performance of the UAV network during the mission. Through QualNet simulation platform, existing practical asynchronous consensus algorithms are compared, and the proposed method performs better in terms of throughput, consensus latency and energy consumption rate.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】mission-oriented UAV network; Byzantine fault-tolerant; lightweight asynchronous provable consensus

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实验仿真

【DOI】 10.3390/drones6080187

【Author】 Ju, Chunhua Shen, Zhonghua Bao, Fuguang Weng, Pengtong Xu, Yihang Xu, Chonghuan

【Source】INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

【影响因子】4.614

【主题类别】

区块链应用-实体经济-环境领域

【Abstract】To achieve the goal of carbon neutrality, many countries have established regional carbon emission trading markets and tried to build a low-carbon economic system. At present, the implementation of carbon emission trading and low-carbon economic systems faces many challenges such as manipulation, corruption, opacity, lack of trust, and lack of data tracking means. The application of blockchain technology can perfectly solve the above problems. However, the data recorded on a blockchain are often multi-type and heterogeneous, and users at different levels such as regulators, enterprises, and consumers have different requirements for data types and granularity. This requires a quick and trustworthy method for monitoring the carbon footprint of enterprises and products. In this paper, the carbon footprint traceability of enterprises and products is taken as an application scenario, and the distributed traceability concept of "traceability off the chain and verification on the chain" is adopted. By reconstructing the pointer of the file structure of the distributed storage, an interactive traceability structure supporting type filtering is constructed, which enables fast retrieval and locating of carbon emission data in the mixed data on the chain. The experimental results show that using the interactive traceability structure that supports type filtering for traceability not only releases the computing power of full nodes but also greatly improves the traceability efficiency of the long-span transaction chain. The proposed carbon footprint traceability system can rapidly trace and track data on an enterprise's and a product's carbon footprint, as well as meet the needs of users at all levels for traceability. It also offers more advantages when handling large amounts of data requests.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】carbon emission trading; carbon footprint; blockchain; IPFS; interactive traceability; traceability off the chain; type filtering

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实验仿真

【DOI】 10.3390/ijerph191610316

【Author】 Zhang, Fa Gu, Yimiao

【Source】SUSTAINABILITY

【影响因子】3.889

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】To improve the sustainability of the shipping industry, a practice of establishing a new type of shipping alliance based on blockchain has been implemented. In this practice, the following question emerges: How will shipping lines achieve sustainable profit improvement? This paper focuses on the freight decision-making problem by constructing a multi-round joint-quotation strategy. This paper also demonstrates the potential impact of a joint quotation strategy on the blockchain-based open freight market from a theoretical perspective. The numerical experiment results show that, compared with the initial state, the joint quotation strategy can help to stabilize shipping demands and reduce the fluctuation in overall demands. In this strategy, the freight level needs to be high to maximize profits. However, part of the demands will be sacrificed as a result. Moreover, the optimal equilibrium solution under the joint quotation strategy is relatively vulnerable to changes in the competitive relationship among the members of an alliance. In addition, the joint quotation may also be resolutely resisted by the shipper due to monopoly risk, resulting in a major risk of a sharp reduction in demand. The findings in this paper offer a decision-making reference for the sustainable development of the shipping industry.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】shipping blockchain alliance; joint quotation; container shipping line; equivalent freight; sustainability

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实验仿真

【DOI】 10.3390/su141610441

【Author】 Liu, Jia Li, Jianzhao Wang, Jianrui Uddin, Md Moslah Zhang, Baoxin

【Source】SUSTAINABILITY

【影响因子】3.889

【主题类别】

区块链应用-虚拟经济-金融领域

【Abstract】The implementation of measures to limit electricity consumption in many provinces of China has caused coal prices to rise irrationally, further aggravating the financing problems of small and medium-sized enterprises in the supply chain. Small and medium-sized enterprises lacking funds cannot effectively participate in the green transformation and development of the coal industry, which slows down the sustainable development process of the coal industry. Under the current background of low-carbon advocacy, blockchain technology can reasonably allocate resources and efficiently process information, thereby providing a solution for this financing problem. This paper first proposes a coal accounts receivable financing model based on blockchain technology, then builds a coal accounts receivable financing system dominated by ports through blockchain technology. Finally, the Stackelberg yield-benefit model is used to analyze the income function of each participant in the process of accounts receivable financing. The results show that the use of blockchain technology can reduce the financing condition of financial institutions and improve the maximum income of cooperative enterprises in the chain while solving the financing problems of small and medium-sized enterprises in the coal supply chain. This study provides practical significance and theoretical value for promoting the transformation and upgrading of coal enterprises and accelerating the opening of the sustainable development model of the coal industry.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain technology; accounts receivable financing; Stackelberg model; coal; sustainable development

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实证数据

【DOI】 10.3390/su141610099

【Author】 Kisi, Nermin

【Source】SUSTAINABILITY

【影响因子】3.889

【主题类别】

区块链应用-实体经济-企业管理

【Abstract】In recent years, human resource (HR) professionals have struggled with problems such as reduced efficiency, increased cost, fraud risks, and time-consuming procedures in the process of finding and hiring the right talent for companies. Blockchain technology has emerged as a powerful tool to solve these problems and transform the recruitment process. The aim of this study is to investigate the opportunities, challenges, possible solutions, and prospects for blockchain technology adoption in recruitment. In order to achieve this aim, exploratory research has been conducted through a combination of a comprehensive literature review and a structured interview with experts in the field of human resource management (HRM) and blockchain. Thematic analysis has been used to analyze qualitative data. The findings reveal that blockchain-based recruitment systems enhance the recruitment processes by offering opportunities such as increasing the speed and reliability of the transactions and reducing costs and routine workload. Thus, it provides a sustainable competitive advantage to the companies. However, these systems have some technological, organizational, and environmental challenges that can be addressed in the long term. In the future, it is expected that the use of blockchain technology in recruitment processes will be a gradual process and will change the role of recruiters.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】human resource management; recruitment; technology; blockchain

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实证数据

【DOI】 10.3390/su141610098

【Author】 Cao, Qilong Li, Jinglei Zhang, Hongru Liu, Yue Luo, Xun

【Source】SUSTAINABILITY

【影响因子】3.889

【主题类别】

区块链应用-实体经济-企业管理

【Abstract】This paper creatively constructs blockchain development indicators using geographical characteristics to investigate the influence of blockchain development on the total factor productivity of listed companies. Our findings reveal that local blockchain development can significantly promote the improvement of the firms' total factor productivity. To alleviate endogeneity, this paper combines exogenous policy and geographic distance to construct instrumental variables. Moreover, the positive influence is more pronounced in non-SOEs, non-excess capacity industries, and samples with high initial productivity. After the robustness test, the results are still valid. The aforementioned results provide practical implications for Chinese listed companies to lay out digital business.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】digital economy; blockchain technology; total factor productivity; Chinese listed companies

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实证数据

【DOI】 10.3390/su141610165

【Author】 Yang, Yang Han, Shangbin Xie, Ping Zhu, Yan Ding, Zhenyang Hou, Shengjie Xu, Shicheng Zheng, Haibin

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链技术-核心技术-加密算法

【Abstract】With the increasing demand for privacy protection in the blockchain, the universal zero-knowledge proof protocol has been developed and widely used. Because hash function is an important cryptographic primitive in a blockchain, the zero-knowledge proof of hash preimage has a wide range of application scenarios. However, it is hard to implement it due to the transformation of efficiency and execution complexity. Currently, there are only zero-knowledge proof circuits of some widely used hash functions that have been implemented, such as SHA256. SM3 is a Chinese hash function standard published by the Chinese Commercial Cryptography Administration Office for the use of electronic authentication service systems, and hence might be used in several cryptographic applications in China. As the national cryptographic hash function standard, the zero-knowledge proof circuit of SM3 (Chinese Commercial Cryptography) has not been implemented. Therefore, this paper analyzed the SM3 algorithm process, designed a new layered circuit structure, and implemented the SM3 hash preimage zero-knowledge proof circuit with a circuit size reduced by half compared to the automatic generator. Moreover, we proposed several extended practical protocols based on the SM3 zero-knowledge proof circuit, which is widely used in blockchain.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】SM3; zero-knowledge proof; arithmetic circuit; privacy preserving

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 理论模型

【DOI】 10.3390/s22165951

【Author】 Sun, Yi Shao, Ying

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链应用-实体经济-应急领域

【Abstract】In emergency scenarios where the on-site information is completely lacking or the original environmental state has been completely changed, autonomous and mobile swarm robotics are used to quickly build a rescue support system to ensure the safety of follow-up rescuers and improve rescue efficiency. To address the data security problem caused by the complex and changeable topology of the heterogeneous swarm robotics network in the process of building the rescue support system, this paper introduced a decentralized data security communication scheme for heterogeneous swarm robotics. First, we built a decentralized network topology model by using base robot, communication robotics, and business robotics, and it can ensure the stability of the system. Moreover, based on the decentralized network topology model, we designed a storage model using the master-slave blockchain method. The master chain is composed of base robot and communication robotics, which mainly store the digests of robot data in multiple slave chains to reach the global data consensus of the system. The slave chains are composed of business robotics and communication robotics, which mainly store all data on the slave chains to reach the local data consensus of the system. The whole data storage system adopts the Delegated Proof of Stake consensus mechanism to elect proxy nodes to participate in the data consensus tasks in the system and to ensure the data consistency of each robot node in the decentralized network. Additionally, a prototype of the heterogeneous swarm robotics system based on the master-slave chains is constructed to verify the effectiveness of the proposed model. The experimental results show that the scheme effectively solves the data security problem caused by the unstable communication link of the heterogeneous swarm robotics system.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】heterogeneous swarm robotics; blockchain; DPoS consensus mechanism; Byzantine generals problem; data security

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实验仿真

【DOI】 10.3390/s22166082

【Author】 Singh, Saurabh Babu, C. Rajesh Ramana, Kadiyala Ra, In-Ho Yoon, Byungun

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】Fifth-generation (5G) technology is anticipated to allow a slew of novel applications across a variety of industries. The wireless communication of the 5G and Beyond-5G (B5G) networks will accommodate a wide variety of services and user expectations, including intense end-user connectivity, sub-1 ms delay, and a transmission rate of 100 Gbps. Network slicing is envisioned as an appropriate technique that can meet these disparate requirements. The intrinsic qualities of a blockchain, which has lately acquired prominence, mean that it is critical for the 5G network and B5G networks. In particular, the incorporation of blockchain technology into B5G enables the network to effectively monitor and control resource utilization and sharing. Using blockchain technology, a network-slicing architecture referred to as the Blockchain Consensus Framework is introduced that allows resource providers to dynamically contract resources, especially the radio access network (RAN) schedule, to guarantee that their end-to-end services are effortlessly executed. The core of our methodology is comprehensive service procurement, which offers the fine-grained adaptive allocation of resources through a blockchain-based consensus mechanism. Our objective is to have Primary User-Secondary User (PU-SU) interactions with a variety of services, while minimizing the operation and maintenance costs of the 5G service providers. A Blockchain-Enabled Network Slicing Model (BENS), which is a learning-based algorithm, is incorporated to handle the spectrum resource allocation in a sophisticate manner. The performance and inferences of the proposed work are analyzed in detail.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; network slicing; 5G communications; radio access network; 5G-CORE network functions; beyond-5G

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 理论模型

【DOI】 10.3390/s22166068

【Author】 Salim, Mikail Mohammed Comivi, Alowonou Kowovi Nurbek, Tojimurotov Park, Heejae Park, Jong Hyuk

【Source】SENSORS

【影响因子】3.847

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Resource constraints in the Industrial Internet of Things (IIoT) result in brute-force attacks, transforming them into a botnet to launch Distributed Denial of Service Attacks. The delayed detection of botnet formation presents challenges in controlling the spread of malicious scripts in other devices and increases the probability of a high-volume cyberattack. In this paper, we propose a secure Blockchain-enabled Digital Framework for the early detection of Bot formation in a Smart Factory environment. A Digital Twin (DT) is designed for a group of devices on the edge layer to collect device data and inspect packet headers using Deep Learning for connections with external unique IP addresses with open connections. Data are synchronized between the DT and a Packet Auditor (PA) for detecting corrupt device data transmission. Smart Contracts authenticate the DT and PA, ensuring malicious nodes do not participate in data synchronization. Botnet spread is prevented using DT certificate revocation. A comparative analysis of the proposed framework with existing studies demonstrates that the synchronization of data between the DT and PA ensures data integrity for the Botnet detection model training. Data privacy is maintained by inspecting only Packet headers, thereby not requiring the decryption of encrypted data.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】digital twin; blockchain; smart contracts; botnet detection; cybersecurity

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实证数据

【DOI】 10.3390/s22166133

【Author】 Kwapien, Jaroslaw Watorek, Marcin Bezbradica, Marija Crane, Martin Mai, TaiTan Drozdz, Stanislaw

【Source】CHAOS

【影响因子】3.741

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】We analyze tick-by-tick data representing major cryptocurrencies traded on some different cryptocurrency trading platforms. We focus on such quantities like the inter-transaction times, the number of transactions in time unit, the traded volume, and volatility. We show that the inter-transaction times show long-range power-law autocorrelations. These lead to multifractality expressed by the right-side asymmetry of the singularity spectra f ( alpha ) indicating that the periods of increased market activity are characterized by richer multifractality compared to the periods of quiet market. We also show that neither the stretched exponential distribution nor the power-law-tail distribution is able to model universally the cumulative distribution functions of the quantities considered in this work. For each quantity, some data sets can be modeled by the former and some data sets by the latter, while both fail in other cases. An interesting, yet difficult to account for, observation is that parallel data sets from different trading platforms can show disparate statistical properties. Published under an exclusive license by AIP Publishing.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 理论模型

【DOI】 10.1063/5.0104707

【Author】 Li, Jing Wang, Dejian Qi, Guoqiang Li, Zheming Huang, Jian Zhu, Zhu Shen, Chen Lin, Bo Dong, Kexiong Zhao, Baolong Shu, Qiang Yin, Jianwei Yu, Gang

【Source】ANNALS OF TRANSLATIONAL MEDICINE

【影响因子】3.616

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Background: Multicenter clinical research faces many challenges, including how to quantitatively evaluate the data contribution of each research center. However, few data pricing model meets the requirements to the scenario. Thus, a suitable mechanism to measure the data value for clinical research is required.Methods: Extensive documents were acquired and analyzed, including a rare disease list from the National Health Commission, data structures of the electronic medical records (EMR) system, diagnosis-related groups (DRGs) regulations from the Health Commission of Zhejiang Province, and the Clinical Service Price List of Zhejiang Province. Nine senior experts were invited as consultants from hospital and enterprises with professional field of clinical research, data governance, and health economics. After brainstorming and expert evaluation, seven data attributes were identified as the main factors affecting the value of medical data. Different weights were assigned for each attribute based on its influence on data value. Each attribute was quantized to an index based on proposed algorithms. The data value models for chronic diseases and other diseases were distinguished given the different sensitivity of data timeliness. A simulation system using blockchain and federated learning techniques was constructed to verify the data pricing model in the scenario of clinical research.Results: A comprehensive clinical data pricing model is proposed and the simulation of three research centers with 50 million real clinical data entries was conducted to verify its effectiveness. It demonstrates that the proposed model can compute medical data value quantitatively.Conclusions: Quantitative evaluation of the value of medical data for multicenter clinical research based on the proposed data pricing model works well in simulation. This model will be improved by real-world applications in the near future.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Data value; data pricing; multicenter research; blockchain; federated learning

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实证数据

【DOI】 10.21037/atm-22-3671

【Author】 Zehir, Cemal Zehir, Melike Borodin, Alex Mamedov, Zahid Farrukh Qurbanov, Sadiq

【Source】ENERGIES

【影响因子】3.252

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】Blockchain technology has emerging areas of deployment in diverse sectors and use cases. In this study, several potential application areas of blockchain with promising benefits have been identified in the natural gas industry. There is no single solution that can address different challenges and meet disparate requirements. Therefore, it is important to understand the needs of the natural gas industry and propose appropriate blockchain solutions. Moreover, in the literature, there is a lack of detailed case studies involving industrial experts from the natural gas sector. Expert opinion can be useful for prioritizing the most needed or expected blockchain application areas among several options. By considering privacy, authentication, speed, security, energy consumption, and costs, suitable blockchain types and consensus mechanisms can be determined. This study presents one of the first detailed case studies for tailored applications of blockchain in the natural gas industry. Through a two-staged semi-structured interview with executives from SOCAR Azerbaijan, the most important blockchain application areas and operational requirements were identified. Furthermore, the most suitable blockchain solutions that can address application-specific conditions and needs were determined. This study both, develops a replicable and reliable methodology to conduct detailed blockchain implementation case studies in the natural gas industry and various other sectors, and provides detailed insights into the primary application areas, operational expectations-requirements, and implementation challenges specific to each application.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; case study; internet of things (IoT); natural gas; engineering

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 观点阐述

【DOI】 10.3390/en15166010

【Author】 Meng, Lei Huang, Daochao An, Jiahang Zhou, Xianwei Lin, Fuhong

【Source】CHINA COMMUNICATIONS

【影响因子】3.170

【主题类别】

区块链技术-协同技术-物联网

【Abstract】Zero-trust security is a novel concept to cope with intricate access, which can not be handled by the conventional perimeter-based architecture anymore. The device-to-device continuous authentication protocol is one of the most crucial cornerstones, especially in the IoT scenario. In the zero-trust architecture, trust does not rely on any position, person or device. However, to the best of our knowledge, almost all existing device-to-device continuous authentication relies on a trust authority or a node to generate secret keys or secret values. This is betrayed by the principle of zero-trust architecture. In this paper, we employ the blockchain to eliminate the trusted node. One node is chosen to produce the public parameter and secret keys for two entities through the practical Byzantine fault tolerance consensus mechanism. Additionally, the devices are categorized into three folds: trusted device, suspected device and untrusted device. Only the first two can participate in authentication, and they have different lengths of security parameters and intervals to reach a better balance between security and efficiency. Then we prove the security of the initial authentication part in the eCK model and give an informal analysis of the continuous authentication part. Finally, we implement the proposed protocol on simulated devices. The result illustrates that our scheme is highly efficient, and the continuous authentication only costs around 0.1ms.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】continuous authentication; zero-trust architecture; device-to-device; blockchain; IoT

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实验仿真

【DOI】

【Author】 Yang, Guangcan Li, Jiayang He, Yunhua Xiao, Ke Xin, Yang Zhu, Hongliang Li, Chen

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链应用-实体经济-通信领域

【Abstract】Location-based services (LBSs) facilitate people's lives; location-based service providers (LBSPs) usually outsource services to third parties to provide better services. However, the third party is a dishonest entity that might return incorrect or incomplete query results under the consideration of saving storage space and computation resources. In this paper, we propose a security-enhanced query result verification scheme (SEQRVS) for the outsourced data in a LBS. Specifically, while retaining fine-grained query result verification, we improve the construction process of verification objects to enhance the security of the outsourced data. To prevent the third party from deducing the knowledge of the outsourced data stored in itself (statistically), our scheme designs a novel storage structure to enhance the ability of privacy preservation for the outsourced data. Furthermore, based on the secure keyword search and query result verification mode proposed in our scheme, the user cannot only verify the correctness and completeness of the query result but also achieve consistency verification by the blockchain. Finally, the security analysis and extensive simulation results show the security and practicality of the proposed scheme.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】location-based service (LBS); query result verification; privacy preservation; blockchain

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实验仿真

【DOI】 10.3390/app12168126

【Author】 Heidari, Arash Jamali, Mohammad Ali Jabraeil Navimipour, Nima Jafari Akbarpour, Shahin

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链技术-协同技术-物联网

【Abstract】The number of Internet of Things (IoT)-related innovations has recently increased exponentially, with numerous IoT objects being invented one after the other. Where and how many resources can be transferred to carry out tasks or applications is known as computation offloading. Transferring resource-intensive computational tasks to a different external device in the network, such as a cloud, fog, or edge platform, is the strategy used in the IoT environment. Besides, offloading is one of the key technological enablers of the IoT, as it helps overcome the resource limitations of individual objects. One of the major shortcomings of previous research is the lack of an integrated offloading framework that can operate in an offline/online environment while preserving security. This paper offers a new deep Q-learning approach to address the IoT-edge offloading enabled blockchain problem using the Markov Decision Process (MDP). There is a substantial gap in the secure online/offline offloading systems in terms of security, and no work has been published in this arena thus far. This system can be used online and offline while maintaining privacy and security. The proposed method employs the Post Decision State (PDS) mechanism in online mode. Additionally, we integrate edge/cloud platforms into IoT blockchain-enabled networks to encourage the computational potential of IoT devices. This system can enable safe and secure cloud/edge/IoT offloading by employing blockchain. In this system, the master controller, offloading decision, block size, and processing nodes may be dynamically chosen and changed to reduce device energy consumption and cost. TensorFlow and Cooja's simulation results demonstrated that the method could dramatically boost system efficiency relative to existing schemes. The findings showed that the method beats four benchmarks in terms of cost by 6.6%, computational overhead by 7.1%, energy use by 7.9%, task failure rate by 6.2%, and latency by 5.5% on average.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; deep learning; IoT; Offloading; QoS; privacy

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实证数据

【DOI】 10.3390/app12168232

【Author】 Chen, Jing Li, Tong Zhu, Rui

【Source】APPLIED SCIENCES-BASEL

【影响因子】2.838

【主题类别】

区块链应用-实体经济-交通领域

【Abstract】False messages sent by malicious or selfish vehicle nodes will reduce the operation efficiency of the Internet of Vehicles, and can even endanger drivers in serious cases. Therefore, it is very important to detect malicious vehicle nodes in the network in a timely manner. At present, the existing research on detecting malicious vehicle nodes in the Internet of Vehicles has some problems, such as difficulties with identification and a low detection efficiency. Blockchain technology cannot be tampered with or deleted and has open and transparent characteristics. Therefore, as a shared distributed ledger in decentralized networking, blockchain can promote collaboration between transactions, processing and interaction equipment, and help to establish a scalable, universal, private, secure and reliable car networking system. This paper puts forward a block-network-based malicious node detection mechanism. Using blockchain technology in a car network for malicious node identification algorithm could create a security scheme that can ensure smooth communication between network vehicles. A consensus on legal vehicle identification, message integrity verification, false message identification and malicious vehicle node identification form the four parts of the security scheme. Based on the public-private key mechanism and RSA encryption algorithm, combined with the malicious node identification algorithm in the Internet of Vehicles, the authenticity of the vehicle's identity and message is determined to protect the vehicle's security and privacy. First, a blockchain-based, malicious node detection architecture is constructed for the Internet of vehicles. We propose a malicious node identification algorithm based on the blockchain consensus mechanism. Combined the above detection architecture with the consensus mechanism, a comprehensive and accurate verification of vehicle identity and message authenticity is ensured, looking at the four aspects of vehicle identification, accounting node selection, verification of transmission message integrity and identification of the authenticity of transmission messages. Subsequently, the verification results will be globally broadcast in the Internet of Vehicles to suppress malicious behavior, further ensure that reliable event messages are provided for the driver, improve the VANET operation environment, and improve the operation efficiency of the Internet of Vehicles. Comparing the proposed detection mechanism using simulation software, the simulation results show that the proposed blockchain-based trust detection mechanism can effectively improve the accuracy of vehicle node authentication and identification of false messages, and improve network transmission performance in the Internet of Vehicles environment.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain technology; intelligent technology; internet of vehicles; malicious nodes; identification algorithm

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实验仿真

【DOI】 10.3390/app12168362

【Author】 Yang, Ming Jia, Li Gao, Tilei He, Yuanyuan Gui, Bin Zhang, Tao

【Source】WIRELESS COMMUNICATIONS & MOBILE COMPUTING CCF-C

【影响因子】2.146

【主题类别】

区块链应用-实体经济-其他

【Abstract】Even well-known cloud platforms will have sudden credibility problems in the long-term application process. Effectively evaluating the credibility of the cloud platform and providing users with scientific evaluation results can help users reasonably choose a trusted cloud platform. However, there are often conflicting opinions or malicious assessments in the process of assessment. In addition, the personal privacy information of the users participating in the assessment is at risk of being leaked, and the data that the users have evaluated is also easy to be modified. In order to solve the above problems, this paper defines the credibility category and confidence interval of cloud platform, puts forward a quantitative assessment method combined with fuzzy theory, and realizes the fusion of different users' assessment results based on D-S theory. On this basis, this paper further proposes an effective cloud platform credibility assessment system combined with blockchain technology. Finally, through experimental analysis, this paper shows that the credibility assessment system proposed in this paper is feasible and illustrates the characteristics of the system through method comparison. The system solves the problem of conflicting information in the assessment process, can effectively assess the credibility of the cloud platform, and effectively protects user privacy and the security of assessment data with blockchain technology.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实证数据

【DOI】 10.1155/2022/5866570

【Author】 Mainetti, Luca Paiano, Roberto Pedone, Matteo Quarta, Marco Dervishi, Elton

【Source】EDUCATION SCIENCES

【影响因子】0.000

【主题类别】

区块链应用-实体经济-教育领域

【Abstract】The main purpose of this work is to describe the process of design and implementation of a novel e-Learning platform, named Digital Brick, intended to enhance the students' experience in obtaining formal certifications of their competencies. The research method we followed starts form a deep study of the state of the art that showed us the need to invest more research effort on delivering open and flexible online environments to enable students in finding and passing courses with final formal certifications of learning. To reach this goal, we (i) designed a complete system architecture around a standard (SCORM compliant) learning management system in order the approach should be reusable as much as possible. We (ii) introduced specific modules to separate responsibilities on the definition and issuing of formal certifications using digital badges according to the IMS Open Badges standard. We (iii) exploited blockchain technology to make the sharing of badges among actors more secure, transparent and open. Finally, we (iv) introduced a new recommendation algorithm based on machine learning techniques to give advice to students about study materials and learning paths. We spent a significant part of our effort carrying out both a functional and quantitative validation of our proposal. The obtained results are presented through a laboratory case study that involves all the components of the architecture, and the outcomes are discussed providing numerical performance indicators. In conclusion, the resulting platform introduces digital badges and blockchain as tools to share recognized achievements among earners and issuers, and machine learning algorithms to provide students with recommendations on the learning material, learning objects, courses and learning paths more suitable for their learning styles.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】open badges; blockchain; recommendation system; online competences certification; digital brick

【发表时间】2022

【收录时间】2022-09-14

【文献类型】 实证数据

【DOI】 10.3390/educsci12080567