A Robust Privacy-Preserving ECC-Based Three-Factor Authentication Scheme for Metaverse Environment

Thakur, Garima; Kumar, Pankaj; Chen, Chein-Ming; Vasilakos, Athanasios V.; Anchna,; Prajapat, Sunil

doi:10.1016/j.comcom.2023.09.020

Cited by 18 publications

(4 citation statements)

References 34 publications

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“…Thus, the avatar authentication phase developed by Ryu et al could expose users' private information to providers of metaverse services [11]. In addition, their scheme had high computational cost [12]. Therefore, Kim et al [11], proposed a secure authentication scheme between avatars that allows users to protect their privacy during avatar interactions without relying on the service provider.…”

Section: Related Workmentioning

confidence: 99%

“…However, after our security analysis we found out that their protocol was vulnerable to private key disclosure providing an adversary with multiple advantages. Thakur et al [12], proposed a secure mutual authentication scheme for safer user-server and avatar-avatar interactions utilizing Elliptic Curve Cryptography (ECC) and fuzzy extractor. Nevertheless, they assume that their scheme is vulnerable against physical implementation attacks including differential side-channel analysis and deep learning-based side-channel analysis.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

On the Privacy and Security for E-Education Metaverse

Sakka,

Liagkou,

Stylios

et al. 2024

2024 IEEE Global Engineering Education Conference (EDUCON)

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

On the Privacy and Security for E-Education Metaverse

Sakka,

Liagkou,

Stylios

et al. 2024

2024 IEEE Global Engineering Education Conference (EDUCON)

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“…Ryu et al [6] presented a mutual authentication scheme using Elliptic Curve Cryptography (ECC) to offer secure communication between users and servers as well as secure interactions between avatars and avatars of the platform. Thakur et al [7] proposed a secure ECC-based authentication scheme utilizing a fuzzy extractor for more secure user-server and avatar-avatar interactions. However, the high computational cost of the above literature makes them unsuitable for deployment into the metaverse.…”

Section: Introductionmentioning

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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“…As interest in metaverse has surged, extensive research has been conducted on the constituent technologies comprising metaverse [7], [8], as well as on harnessing metaverse [9], [10]. Specially, considerable efforts have been devoted to the authentication of metaverse users [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

Space Authentication in the Metaverse: A Blockchain-Based User-Centric Approach

Seo,

Ko,

Park

2024

IEEE Access

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As the metaverse gains traction, the importance of metaverse security research becomes increasingly evident. While there has been research on authenticating users in the metaverse, there is a notable gap in research concerning the authentication of specific spaces within the metaverse. This paper addresses this gap by proposing a novel user-centric blockchain-based authentication approach that incorporates space authentication. The proposed approach leverages blockchain smart contracts to authenticate users using cosine similarity metrics. A significant advantage of this approach its ability to establish user-centric authentication by seamlessly integrating metaverse and blockchain technologies, all without the need for a centralized authority. In this paper, we not only evaluate the security of our proposed approach but also conduct experiments to determine the cosine similarity threshold and assess its feasibility within a metaverse environment.

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A Robust Privacy-Preserving ECC-Based Three-Factor Authentication Scheme for Metaverse Environment

Cited by 18 publications

References 34 publications

On the Privacy and Security for E-Education Metaverse

On the Privacy and Security for E-Education Metaverse

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

Space Authentication in the Metaverse: A Blockchain-Based User-Centric Approach

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