A Secure Authentication Framework to Guarantee the Traceability of Avatars in Metaverse

Yang, Kedi; Zhang, Zhenyong; Tian, Youliang; Ma, Jianfeng

doi:10.1109/tifs.2023.3288689

Cited by 35 publications

(7 citation statements)

References 43 publications

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“…We used this evaluation framework as a reference to evaluate the current state of Self-Sovereignty in the published and proposed authentication solution for the Metaverse. In this analysis, we assess five proposed solutions for Metaverse authentication: a secure authentication framework to guarantee the traceability of avatars in the Metaverse (SMC) [37], a Secure and Privacy-Preserving Authentication Scheme Using Decentralized Identifiers in a Metaverse Environment (DIM) [41], gaze-based authentication (GBA) [42], and knowledge-based authentication (KBA) [43], in addition to evaluating MetaSSI.…”

Section: Comparative Analysis and Resultsmentioning

confidence: 99%

“…Zhang [36] suggests the establishment of a unified digital identity authentication system to address privacy and security concerns. The proposed two-factor authentication framework based on chameleon signatures and biometric-based authentication effectively guarantees the consistency and traceability of the avatar's identity in the Metaverse, enabling virtual-physical tracking [37].…”

Section: Literature Reviewmentioning

confidence: 99%

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MetaSSI: A Framework for Personal Data Protection, Enhanced Cybersecurity and Privacy in Metaverse Virtual Reality Platforms

Fiaz,

Sajjad,

Iqbal

et al. 2024

Future Internet

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The Metaverse brings together components of parallel processing computing platforms, the digital development of physical systems, cutting-edge machine learning, and virtual identity to uncover a fully digitalized environment with equal properties to the real world. It possesses more rigorous requirements for connection, including safe access and data privacy, which are necessary with the advent of Metaverse technology. Traditional, centralized, and network-centered solutions fail to provide a resilient identity management solution. There are multifaceted security and privacy issues that hinder the secure adoption of this game-changing technology in contemporary cyberspace. Moreover, there is a need to dedicate efforts towards a secure-by-design Metaverse that protects the confidentiality, integrity, and privacy of the personally identifiable information (PII) of users. In this research paper, we propose a logical substitute for established centralized identity management systems in compliance with the complexity of the Metaverse. This research proposes a sustainable Self-Sovereign Identity (SSI), a fully decentralized identity management system to mitigate PII leaks and corresponding cyber threats on all multiverse platforms. The principle of the proposed framework ensures that the users are the only custodians and proprietors of their own identities. In addition, this article provides a comprehensive approach to the implementation of the SSI principles to increase interoperability and trustworthiness in the Metaverse. Finally, the proposed framework is validated using mathematical modeling and proved to be stringent and resilient against modern-day cyber attacks targeting Metaverse platforms.

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Section: Comparative Analysis and Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

MetaSSI: A Framework for Personal Data Protection, Enhanced Cybersecurity and Privacy in Metaverse Virtual Reality Platforms

Fiaz,

Sajjad,

Iqbal

et al. 2024

Future Internet

View full text Add to dashboard Cite

show abstract

“…Authentication is the first line of defense against access by illegal meta-users in the metaverse, which protects the meta-user's avatar [19] from unauthorized intrusion, therefore authentication is an integral part of the metaverse. Yang et al [20] proposed a two-factor authentication framework based on chameleon signature and biometric authentication to suggest a secure meta-universe environment. In addition, the authentication framework is shown to guarantee the consistency and traceability of virtual identities after security analysis.…”

Section: Related Workmentioning

confidence: 99%

Chaotic Map-Based Authentication and Key Agreement Protocol with Low-Latency for Metasystem

Wang,

Liu

2024

CMC

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With the rapid advancement in exploring perceptual interactions and digital twins, metaverse technology has emerged to transcend the constraints of space-time and reality, facilitating remote AI-based collaboration. In this dynamic metasystem environment, frequent information exchanges necessitate robust security measures, with Authentication and Key Agreement (AKA) serving as the primary line of defense to ensure communication security. However, traditional AKA protocols fall short in meeting the low-latency requirements essential for synchronous interactions within the metaverse. To address this challenge and enable nearly latency-free interactions, a novel lowlatency AKA protocol based on chaotic maps is proposed. This protocol not only ensures mutual authentication of entities within the metasystem but also generates secure session keys. The security of these session keys is rigorously validated through formal proofs, formal verification, and informal proofs. When confronted with the Dolev-Yao (DY) threat model, the session keys are formally demonstrated to be secure under the Real-or-Random (ROR) model. The proposed protocol is further validated through simulations conducted using VMware workstation compiled in HLPSL language and C language. The simulation results affirm the protocol's effectiveness in resisting well-known attacks while achieving the desired low latency for optimal metaverse interactions.

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“…In ref. [12], K. Yang et al proposed a secure authentication framework to guarantee the traceability of avatars in the metaverse using a two-factor authentication framework based on chameleon signatures and biometrics. It uses blockchain as a solution for traceability.…”

Section: Related Workmentioning

confidence: 99%

Blockchain-Enabled Secure and Interoperable Authentication Scheme for Metaverse Environments

Patwe,

Mane

2024

Future Internet

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The metaverse, which amalgamates physical and virtual realms for diverse social activities, has been the focus of extensive application development by organizations, research institutes, and companies. However, these applications are often isolated, employing distinct authentication methods across platforms. Achieving interoperable authentication is crucial for when avatars traverse different metaverses to mitigate security concerns like impersonation, mutual authentication, replay, and server spoofing. To address these issues, we propose a blockchain-enabled secure and interoperable authentication scheme. This mechanism uniquely identifies users in the physical world as well as avatars, facilitating seamless navigation across verses. Our proposal is substantiated through informal security analyses, employing automated verification of internet security protocols and applications (AVISPA), the real-or-random (ROR) model, and Burrows–Abadi–Needham (BAN) logic and showcasing effectiveness against a broad spectrum of security threats. Comparative assessments against similar schemes demonstrate our solution’s superiority in terms of communication costs, computation costs, and security features. Consequently, our blockchain-enabled, interoperable, and secure authentication scheme stands as a robust solution for ensuring security in metaverse environments.

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A Secure Authentication Framework to Guarantee the Traceability of Avatars in Metaverse

Cited by 35 publications

References 43 publications

MetaSSI: A Framework for Personal Data Protection, Enhanced Cybersecurity and Privacy in Metaverse Virtual Reality Platforms

MetaSSI: A Framework for Personal Data Protection, Enhanced Cybersecurity and Privacy in Metaverse Virtual Reality Platforms

Chaotic Map-Based Authentication and Key Agreement Protocol with Low-Latency for Metasystem

Blockchain-Enabled Secure and Interoperable Authentication Scheme for Metaverse Environments

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