【影响因子】8.702
【主题类别】
区块链技术-核心技术-身份验证
【Abstract】Digital platforms are experiencing a growing presence of generative artificial intelligence (AI) content, raising concerns due to the prevalence of misinformation that disrupts market integrity. Consequently, the development of effective regulatory measures for overseeing generative AI content becomes imperative. This necessitates the establishment of mechanisms to detect and filter out inaccuracies, ensuring compliance with regulatory requirements. In addition, collaboration among experts, regulators, and AI developers is essential to encourage responsible AI deployment on digital platforms. Successful governance hinges on principles of transparency, accountability, and proactive risk management to navigate the evolving generative AI on digital platforms. Therefore, in order to address the security issues currently faced by artificial intelligence generated content (AIGC), this article first proposes a method of efficient cache mechanism for AIGC content. The secure method of determining the identity of AIGC content owners is proposed based on blockchain technology. Subsequently, it suggests mechanisms for access control and data encryption for generated content within a blockchain environment. Finally, it presents an efficient data supervision mechanism tailored to the AIGC environment. The methods outlined in this article aim to enhance security from three perspectives: protection of content creators' identities, safeguarding data security, and ensuring effective data supervision within the AIGC framework. The experimental results further confirm that our proposed method not only ensures the security of the AIGC framework but also provides an efficient data analysis and supervision solution for digital platforms.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Artificial intelligence generated content (AIGC) regulation; blockchain governance; consensus mechanism; data security; data traceability; Artificial intelligence generated content (AIGC) regulation; blockchain governance; consensus mechanism; data security; data traceability
【发表时间】2024
【收录时间】2024-10-30
【文献类型】 理论模型
【DOI】 10.1109/TEM.2024.3472292
【影响因子】5.293
【主题类别】
区块链应用-实体经济-汽车领域
区块链应用-实体经济-物联网
【Abstract】The Social Internet of Vehicles (SIoV) merges social networking and Internet of Things technologies within the automotive domain, facilitating real-time communication and data sharing among vehicles. Ensuring the dependable transmission of signals in the SIoV is important as it significantly enhances traffic efficiency, safety, and user experience. Signal detection techniques play a vital role in guaranteeing the reliability of various signals, encompassing traffic signals, vehicle statuses, and road conditions, transmitted through diverse vehicle-to-everything (V2X) communication channels. This article initiates by exploring the evolution of vehicle networking, signal transmission scenarios, and network structures within the SIoV. Subsequently, a comprehensive review of signal detection technologies in the SIoV are provided. Furthermore, we discuss the future challenges that pertain to SIoV signal detection techniques. The objective of this article is to provide guidance for the development of SIoV signal detection technologies that provide robust communications in intelligent transportation systems.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Roads; Social networking (online); Signal detection; Safety; Real-time systems; Servers; Security; Cloud computing; Reliability; Vehicular ad hoc networks
【发表时间】2024
【收录时间】2024-10-30
【文献类型】 综述
【Author】 Gebreab, Senay A. Musamih, Ahmad Hasan, Haya R. Salah, Khaled Jayaraman, Raja Al Hammadi, Yousof Omar, Mohammed
CCF-C
【影响因子】5.047
【主题类别】
区块链应用-虚拟经济-NFT
区块链技术-平台项目-IPFS
【Abstract】Digital twins and digital artifacts have become integral components of metaverse platforms, providing users with a rich, immersive, and interactive digital experience through the deployment of diverse digital twins and digital artifacts such as 3D avatars, images, and objects. To date, a significant challenge persists in the lack of practical mechanisms to enable seamless teleportation and cross-metaverse interoperability for these digital twins and digital artifacts. There is also a lack of trusted monetization methods that facilitate trading and leasing of digital twins and digital artifacts. To address these important challenges, this paper proposes a blockchain and Non-Fungible Token (NFT)-based solution that facilitates the integration and teleportation of these digital twins and digital artifacts by providing trusted metadata, verifying ownership, and ensuring the authenticity of digital creations in the virtual world. Key to our solution is the introduction of a bridging mechanism that enables cross-metaverse interoperability, allowing for the portable transfer of NFTs across decentralized metaverse platforms. In addition, our solution focuses on empowering original digital creators by enabling the monetization of their creations through the ownership management capabilities offered by NFTs. To reliably and securely store the metadata and content of tokenized digital twins and digital artifacts, we integrate into our solution the Interplanetary File System (IPFS), a decentralized storage system. To demonstrate the feasibility of our solution, we have developed and deployed all necessary smart contracts that govern the main functionalities and interactions of the proposed system on the Ethereum Goerli Testnet. We present our proposed system architecture, accompanied by informative sequence diagrams, algorithms, and testing details. We discuss how our proposed solution attains the main objectives outlined in the paper. We evaluate our proposed solution in terms of cost and security. We have made the complete source code of our smart contracts publicly available on GitHub.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Blockchain; Non-fungible tokens (NFTs); Digital twins; Metaverse; Teleportation; Security & privacy; Interoperability; Traceability; Traceability
【发表时间】2024
【收录时间】2024-10-30
【文献类型】 理论模型
【Author】 Sathiya, V. Nagalakshmi, K. Raju, K. Lavanya, R.
【影响因子】4.996
【主题类别】
区块链应用-实体经济-食品供应链
【Abstract】Modern food supply chains are intrinsically sophisticated due to their multi-participant and multi-echelon structure, which are challenging to handle high turbulent business environment. The development of Perishable Food Supply Chains (PFSC) has to be strong enough to manage any type of disruptions in the food industry. At the same time, the food processing industry must also take responsibility for the social and environmental consequences of their deeds. This has further led to performance deterioration and intensified design complexity. Recently, digitalization and Blockchain technology (BCT) have brought unfathomed rebellions in PFSC. Despite the potential and market hype, the application of BCT to track the perishable products and status of in-transit shipments is still a challengingtask for the food industry due to privacy and security issues, restricted transactional and scalability performance, deficiency of industry standards and managerial abilities, etc. However, integrating the BCT with the eventual benefits of the Internet of Things (IoT) (i.e., Chain of Things (CoT)) increases the performance of good traceability in any supply chain. The proposed CoT-based Track and Trace system (CoT-TTS) employs a set of IoT devices, BCT, and Adaptive Neuro-Fuzzy Inference System (ANFIS). The performance of CoT-TTS is evaluated through a case study using an EOSIO platform. The effectiveness of the proposed system is evaluated in terms of depth, breadth, access, and precision of the transactions.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Block chain technology; Chain of things; Food quality; IoT; Perishable foods; Traceability system; Shelf life management
【发表时间】2024
【收录时间】2024-10-30
【文献类型】 实验仿真
【Author】 Danish, Syed Muhammad Zhang, Kaiwen Amara, Fatima Cepeda, Juan Carlos Oviedo Vasquez, Luis Fernando Rueda Marynowski, Tom
CCF-C
【影响因子】4.908
【主题类别】
区块链技术-核心技术-性能分析
【Abstract】Climate change is a major issue that has disastrous impacts on the environment through different causes like the greenhouse gas (GHG) emission. Many energy utilities around the world intend to reduce GHG emissions by promoting different systems including carbon emission trading (CET), renewable energy certificates (RECs), and tradable white certificates (TWCs). However, these systems are centralized, highly regulated, and operationally expensive and do not meet transparency, trust and security requirements. Accordingly, GHG emission reduction schemes are gradually moving towards blockchain-based solutions due to their underpinning characteristics including decentralization, transparency, anonymity, and trust (independent from third parties). This paper performs a comprehensive investigation into the blockchain technology, deployed for GHG emission reduction plans. It explores existing blockchain solutions along with their associated challenges to effectively uncover their potentials. As a result, this study suggests possible lines of research for future enhancements of blockchain systems particularly their incorporation in GHG emission reduction.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Climate change; Emissions trading; Green design; Renewable energy sources; Environmental monitoring; Greenhouse gases; Carbon emissions; Blockchains; Certification; Sustainable development; Energy management; Energy dissipation; Carbon trading; energy trading; green certificates; white certificates; renewable energy resources
【发表时间】2024
【收录时间】2024-10-30
【文献类型】 综述
【Author】 Sowjanya, K. Krishna Mouleeswaran, S. K.
【影响因子】2.303
【主题类别】
区块链应用-实体经济-网络安全
区块链技术-协同技术-云计算
【Abstract】The cloud computing landscape presents a critical intersection of security and performance. To address this, an intelligent load-balancing system is proposed coupled with a malicious request classification approach. This research tackles the growing threat of malicious requests, which pose a significant risk to cloud systems. By integrating a novel classification mechanism within the load-balancing framework, we can pre-emptively identify and mitigate potential security breaches. The approach combines Intelligent Load Balancing with blockchain technology to enhance cloud security and performance. Users, or clients interacting with cloud-based services, access these systems through the Internet. The proposed system leverages the golden eagle optimizer (GEO), a metaheuristic optimization algorithm, to optimize quality of service (QoS) parameters while managing dynamic workloads. To accurately classify malicious requests, we employ a hybrid graph neural network (GNN) and logistic regression (LR) model. The GNN captures complex relationships among request features (e.g., IP addresses, URLs, user-agent strings) to identify patterns indicative of malicious activity. The LR model then makes the final classification decision based on the GNN's output. Implemented and evaluated using Jupyter Notebook, the system demonstrates an impressive 98% accuracy in classifying malicious requests, highlighting its effectiveness in safeguarding cloud environments.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cloud security; Intelligent load balancing; Malicious request classification; Cloud computing; Logistic regression model; Graph neural network (GNN)
【发表时间】2025
【收录时间】2024-10-30
【文献类型】 实证数据
【Author】 Feng, Shuai Deng, Lunzhi Gao, Yan Wu, Yaying Wen, Jian
【影响因子】2.303
【主题类别】
区块链应用-实体经济-审计领域
【Abstract】Remote data integrity auditing (RDIA) schemes can inspect the integrity of outsourced data. And deduplication improves the utilization of cloud storage space. Therefore, a considerable number of remote data integrity auditing schemes with deduplication mechanism (RDIA-DE) have been proposed by researchers. However, most of these schemes suffer from the following shortcomings. Initially, these schemes rely on honest and trustworthy third-party auditors (TPAs), which were difficult to achieve in reality. Additionally, the computational overhead of the proof-of-ownership (PoW) algorithms increases linearly with the number of challenged data blocks. In this paper, we put forward a novel RDIA-DE scheme based on blockchain. This scheme utilizes smart contracts to conduct data integrity audits, thereby eliminating the dependency on TPA and penalizing malicious cloud storage providers. Subsequently, we provided security proofs under the random oracle model (ROM). Ultimately, we conducted a performance analysis on six RDIA-DE schemes. The results demonstrate that the new scheme enjoys significant efficiency advantages.
你可以尝试使用大模型来生成摘要 立即生成
【Keywords】Cloud storage; Data integrity auditing; Deduplication; Blockchain; Smart contract
【发表时间】2025
【收录时间】2024-10-30
【文献类型】 实证数据