Security and Privacy Protection Obstacles with 3D Reconstructed Models of People in Applications and the Metaverse: A Survey

Vladimirov, Ivaylo; Nenova, Maria; Nikolova, Desislava; Terneva, Zornitsa

doi:10.1109/icest55168.2022.9828791

Cited by 23 publications

(14 citation statements)

References 19 publications

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“…Stolen avatars might be used for money laundering purposes with cryptocurrencies. Vladimirov et al [68] analyses the threats that a realistic digital clone (avatar) of a person can have in the wrong hands from the perspective of security and privacy. In his study, a network intrusion detection system, by protecting against cyberattacks, misuse, and negligence, and dynamic information flow tracking methods, by monitoring the flow of user login details, are proposed to detect unauthorised access to the metaverse platforms in an automated way to avoid avatar theft.…”

Section: Avatar Theftmentioning

confidence: 99%

Blockchain-Based Decentralised Privacy-Preserving Machine Learning Authentication and Verification With Immersive Devices in the Urban Metaverse Ecosystem

Kuru,

Kuru

2024

Preprint

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Through the development of the metaverse concept from the Sumerian myth (5500 - 1800 BC) and mind-altering novel, “Snow Crash” in 1992, to today’s information age, human- and society-centred urban metaverse worlds, an extension of residents and urban society where the virtual and the physically real blend and are more organically integrated, are meant to mirror the fabric of urban life with no harm to their residents. The success of urban metaverse cybercommunities depends on the quality of data-driven Smart City (SC) Digital Twins (DTs), the seamless exchange of data between cyber and physical worlds (e.g. between residents and their counterpart “Avatars’’) and the processing of the data effectively and efficiently with no vicious interventions. The potential risks in this ecosystem that incorporates Web3 can be extremer than the ones in Web2 since users are immersed with multiple tightly coupled wearable sensor-rich devices perceiving the blend of the real and the virtual with possible imminent negative experiences. This study, by analysing potential cyberthreats in the urban metaverse cyberspaces, proposes a blockchain-based Decentralised Privacy-Preserving Machine Learning (DPPML) authentication and verification technique, which uses the metaverse immersive devices and can be instrumented effectively against identity impersonation and theft of credentials, identity, or avatars.

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Section: Avatar Theftmentioning

confidence: 99%

Blockchain-Based Decentralised Privacy-Preserving Machine Learning Authentication and Verification With Immersive Devices in the Urban Metaverse Ecosystem

Kuru,

Kuru

2024

Preprint

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“…big data, IoT, blockchain, AR, VR, and DT). Cybersecurity countermeasures have emerged in Metaverse environments [60], [61], [62], [63]. Figure 10 shows various security issues and their corresponding countermeasures.…”

Section: ) Cybersecuritymentioning

confidence: 99%

Roles of Blockchain in the Metaverse: Concepts, Taxonomy, Recent Advances, Enabling Technologies, and Open Research Issues

Elsadig,

Alohali,

Ibrahim

et al. 2024

IEEE Access

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The Metaverse platform offers 3D immersive experiences through virtual reality, artificial intelligence, and blockchain technologies. Blockchain-based Metaverse has garnered recent interest due to its decentralization, anonymity, and other security features. Integrating blockchain into Metaverse promotes the formation of a shared ecosystem and provides digital asset tracking, privacy protection, and security in both virtual and physical environments. This paper explores the role of blockchain in creating and managing the Metaverse platform. It is intended to provide a helpful reference for researchers and practitioners in the field of the blockchain-based Metaverse. The main topics covered include the concept and characteristics of the Metaverse; its different use cases, architectures, and technologies; Metaverse as a service provider; Metaverse management; Metaverse users and data; and blockchain-based Metaverse in terms of roles, technologies, applications, and challenges. In addition, recent advances in the blockchain-based Metaverse and challenges such as scalability, interoperability, and edge resource sharing will be discussed. The paper will conclude by highlighting open research issues and future directions, including improving immersion, scalability, security, and integration with existing systems.INDEX TERMS Blockchain, metaverse, Internet of Things (IoT), big data, cybersecurity.

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“…Virtual humans must handle large amounts of user data, such as voice and behavioral habits. The collection, storage, and analysis of data often involves user privacy and security issues [103]. Therefore, data protection and information security are important considerations in the development and application process.…”

Section: ) Privacy and Securitymentioning

confidence: 99%

Virtual Human: A Comprehensive Survey on Academic and Applications

Cui,

Liu

2023

IEEE Access

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As a creative method for virtual human individuals based on multiple fusion technologies such as artificial intelligence, computer graphics, and speech synthesis, virtual human technology has developed rapidly since its birth, and continuous discussions and studies have been conducted in both academia and industry. Starting from the film and television industries, the cross-disciplinary application of virtual human has been continuously recognized and applied in fields such as media, games, and finance. Although virtual human has achieved sufficient development and innovation, it faces many challenges such as emotion recognition, privacy, and security, as well as the uncanny valley effect. This article starts with the development history of virtual human and analyzes the current academic research status and application scenarios in combination with the characteristics, technical architecture, and application of virtual human technology. At the same time, this article sorts out seven mainstream application scenarios of virtual human and analyzes their main advantages and possible future challenges. This article provides a valuable reference for subsequent related research by exploring development trends, application fields, and future research trends in virtual human.

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Security and Privacy Protection Obstacles with 3D Reconstructed Models of People in Applications and the Metaverse: A Survey

Cited by 23 publications

References 19 publications

Blockchain-Based Decentralised Privacy-Preserving Machine Learning Authentication and Verification With Immersive Devices in the Urban Metaverse Ecosystem

Blockchain-Based Decentralised Privacy-Preserving Machine Learning Authentication and Verification With Immersive Devices in the Urban Metaverse Ecosystem

Roles of Blockchain in the Metaverse: Concepts, Taxonomy, Recent Advances, Enabling Technologies, and Open Research Issues

Virtual Human: A Comprehensive Survey on Academic and Applications

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