1,230 research outputs found

    Enabling Technologies for Web 3.0: A Comprehensive Survey

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    Web 3.0 represents the next stage of Internet evolution, aiming to empower users with increased autonomy, efficiency, quality, security, and privacy. This evolution can potentially democratize content access by utilizing the latest developments in enabling technologies. In this paper, we conduct an in-depth survey of enabling technologies in the context of Web 3.0, such as blockchain, semantic web, 3D interactive web, Metaverse, Virtual reality/Augmented reality, Internet of Things technology, and their roles in shaping Web 3.0. We commence by providing a comprehensive background of Web 3.0, including its concept, basic architecture, potential applications, and industry adoption. Subsequently, we examine recent breakthroughs in IoT, 5G, and blockchain technologies that are pivotal to Web 3.0 development. Following that, other enabling technologies, including AI, semantic web, and 3D interactive web, are discussed. Utilizing these technologies can effectively address the critical challenges in realizing Web 3.0, such as ensuring decentralized identity, platform interoperability, data transparency, reducing latency, and enhancing the system's scalability. Finally, we highlight significant challenges associated with Web 3.0 implementation, emphasizing potential solutions and providing insights into future research directions in this field

    Web3.0 Security: Privacy Enhancing and Anonym Auditing in Blockchain-based Structures

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    The advent of Web 3.0, underpinned by blockchain technologies, promises to transform the internet's landscape by empowering individuals with decentralized control over their data. However, this evolution brings unique security challenges that need to be addressed. This paper explores these complexities, focusing on enhancing privacy and anonymous auditing within blockchain structures. We present the architecture of Web 3.0 based on the blockchain, providing a clear perspective on its workflow and security mechanisms. A security protocol for Web 3.0 systems, employing privacy-preserving techniques and anonymous auditing during runtime, is proposed. Key components of our solution include the integration of privacy-enhancing techniques and the utilization of Tor for anonymous auditing. We discuss related work and propose a framework that meets these new security requirements. Lastly, we offer an evaluation and comparison of our model to existing methods. This research contributes towards the foundational understanding of Web 3.0's secure structure and offers a pathway towards secure and privacy-preserving digital interactions in this novel internet landscape

    Securing the Internet of Things: Leveraging Blockchain for Enhanced Trust and Data Integrity

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    The rapid proliferation of the Internet of Things (IoT) has transformed various sectors, enabling unprecedented connectivity and automation. However, this connectivity also introduces significant security challenges, as IoT devices often operate in decentralized and heterogeneous environments, making them vulnerable to various cyber threats. Traditional security measures fall short in addressing these challenges, necessitating innovative solutions to ensure the integrity, confidentiality, and authenticity of data within IoT networks. Blockchain technology, with its decentralized and immutable nature, offers a promising solution to enhance the security of IoT systems. By leveraging blockchain, IoT networks can achieve a higher level of trust and data integrity. The inherent features of blockchain, such as cryptographic security, consensus mechanisms, and decentralized ledger technology, provide robust protection against data tampering, unauthorized access, and other malicious activities. This paper explores the integration of blockchain technology into IoT security frameworks. We discuss the potential benefits of using blockchain for securing IoT devices, including improved transparency, traceability, and accountability. Furthermore, we analyze various blockchain-based IoT security models and architectures proposed in recent research, highlighting their strengths and limitations. In addition, this paper addresses the challenges associated with the implementation of blockchain in IoT environments, such as scalability, energy consumption, and latency. We propose potential solutions to these challenges and outline future research directions to enhance the synergy between blockchain and IoT. By leveraging blockchain technology, IoT systems can achieve enhanced security, fostering greater trust and reliability in interconnected devices. This paper aims to provide a comprehensive understanding of the intersection between blockchain and IoT, offering insights into how this integration can address current security concerns and pave the way for more secure and resilient IoT ecosystems

    A Review of IoT Security and Privacy Using Decentralized Blockchain Techniques

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    IoT security is one of the prominent issues that has gained significant attention among the researchers in recent times. The recent advancements in IoT introduces various critical security issues and increases the risk of privacy leakage of IoT data. Implementation of Blockchain can be a potential solution for the security issues in IoT. This review deeply investigates the security threats and issues in IoT which deteriorates the effectiveness of IoT systems. This paper presents a perceptible description of the security threats, Blockchain based solutions, security characteristics and challenges introduced during the integration of Blockchain with IoT. An analysis of different consensus protocols, existing security techniques and evaluation parameters are discussed in brief. In addition, the paper also outlines the open issues and highlights possible research opportunities which can be beneficial for future research

    Understanding blockchain applications in Industry 4.0: From information technology to manufacturing and operations management

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    The current literature regarding blockchain-based applications in the context of Industry 4.0 has rapidly grown during the last decade. However, a systematic literature review that summarizes the main contributions, findings, and implications from a managerial perspective of the blockchain technology adoption in the specific context of Industry 4.0 is still missing. The present article aims to fill this research gap by examining and elaborating on the extant literature to develop a literature-grounded framework (WHY-HOW-WHAT) that helps better understand the management issues that blockchain technology can help resolve in the context of Industry 4.0, as well as identify the main features of blockchain-based solutions in various areas of Industry 4.0. Furthermore, the proposed framework is useful to understand how ten Industry 4.0 enabling technologies combine with the blockchain technology to implement efficient and effective blockchain-based solutions in Industry 4.0 settings. Finally, based on this framework we conjecture the trajectories of the evolution of blockchain technology in Industry 4.0 settings, and highlight the relevant research gaps that both academics and practitioners working on this field should address in the near future
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