元宇宙市场的安全:挑战与解决方案-全面回顾

IF 2.3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Expert Systems Pub Date : 2025-07-03 DOI:10.1111/exsy.70094
Mohammad Z. Aloudat, Mahmoud Barhamgi, Elias Yaacoub, Dani Aoun
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引用次数: 0

摘要

本文对虚拟市场的安全问题和解决方案进行了系统的综述。虚拟世界是一个新兴的数字空间,连接虚拟、增强和混合现实环境。随着虚拟世界的发展,与客户安全相关的问题已经出现,包括侵犯隐私、身份盗窃和网络犯罪,所有这些都与分散结构中的不安全感相结合。通过这篇系统的文献综述,我们分析了这些挑战,并评估了缓解这些挑战的当前方法,包括加密、去中心化身份和相关的监管框架,但强调了它们在处理沉浸式虚拟空间独特风险方面的有限能力。本文还探讨了采用人工智能、区块链和隐私增强技术(pet)来保护虚拟世界和增强虚拟世界隐私的一些先进解决方案。此外,该评论还指出了当前文献中的空白,特别是缺乏定制的客户保护结构和对心理影响的不良分析。并提出了未来的解决方案,如抗量子安全性和零信任架构,以加强安全性。这次审查强调了行业之间合作的必要性,以及建立安全协议的必要性,以便在不断增长的数字空间中维护客户的信任和参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Security in Metaverse Markets: Challenges and Solutions—A Comprehensive Review

Security in Metaverse Markets: Challenges and Solutions—A Comprehensive Review

This review paper provides a systematic overview of the metaverse markets security problems and solutions. The metaverse is an emerging digital space, bridging virtual, augmented and mixed reality environments. As the metaverse evolves, issues related to customer security have emerged, which include breaches of privacy, thefts of identity and cybercrimes, all of this compounded by insecurities in the decentralised structures. Through this systematic literature review, we analyse these challenges and assess current approaches to mitigate them, including encryption, decentralised identity and related regulatory frameworks, but highlight their limited capacity for dealing with immersive virtual spaces' unique risks. The review also explores some advanced solutions adopting artificial intelligence, blockchain and privacy enhancing technologies (PETs) for securing the metaverse and enhancing its privacy. Furthermore, the review also points out the gaps in the current literature, particularly a lack of customised customer protection structures and a poor analysis of the psychological effects. It also proposes future solutions such as quantum-resistant security and zero-trust architecture to fortify the security. This review highlights the necessity of partnership between the industries, as well as the setting of security protocols so as to safeguard customer trust and engagement in the growing digital space.

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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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