A defensive model and implementation baseline for the metaverse and extended reality systems.

IF 2.5 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
PeerJ Computer Science Pub Date : 2025-08-29 eCollection Date: 2025-01-01 DOI:10.7717/peerj-cs.3054
Sara Qamar, Hasan Tahir, Zahid Anwar, Naveed Ahmed, Shahzaib Tahir, Muhammad Aleem
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引用次数: 0

Abstract

The metaverse and extended reality (XR) systems are vulnerable to emerging security threats, as developers have prioritized competitive business gains over security. The virtual entities, immersive experiences, and lack of centralized governance pose significant challenges in establishing standardized guidelines for XR systems and its stakeholders. In this research, a panoramic view is presented to identify mitigation strategies and defensive capabilities, including authenticity, privacy, integrity, interoperability, virtual forensics, and incident reporting to counter potential threats. To facilitate the implementation of a secure XR system, a novel baseline model is introduced, outlining key attributes and functions aligned with the available libraries. A statistical analysis is performed to assess the quality and effectiveness of development resources in embedding novel XR security features. Furthermore, this research assesses the security posture of prominent XR systems and examines the applicable regulatory frameworks in immersive environment. Finally, security recommendations are proposed to counter the threat landscape of XR and the metaverse.

元现实和扩展现实系统的防御模型和实现基线。
由于开发人员将竞争性业务收益置于安全性之上,因此虚拟世界和扩展现实(XR)系统很容易受到新出现的安全威胁的攻击。虚拟实体、沉浸式体验和缺乏集中治理对为XR系统及其利益相关者建立标准化指导方针构成了重大挑战。在本研究中,提出了一个全景视图,以确定缓解策略和防御能力,包括真实性、隐私性、完整性、互操作性、虚拟取证和事件报告,以应对潜在的威胁。为了促进安全XR系统的实现,引入了一个新的基线模型,概述了与可用库一致的关键属性和功能。通过统计分析来评估嵌入新型XR安全特性的开发资源的质量和有效性。此外,本研究评估了知名XR系统的安全态势,并检查了沉浸式环境中适用的监管框架。最后,提出了安全建议,以应对XR和虚拟世界的威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PeerJ Computer Science
PeerJ Computer Science Computer Science-General Computer Science
CiteScore
6.10
自引率
5.30%
发文量
332
审稿时长
10 weeks
期刊介绍: PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.
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