DT-SSIM: A Decentralized Trustworthy Self-Sovereign Identity Management Framework

Samir, Efat; Wu, Hongyi; Azab, Mohamed; Xin, Chun Sheng; Zhang, Qiao

doi:10.1109/jiot.2021.3112537

Cited by 30 publications

(14 citation statements)

References 38 publications

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“…It can reduce the administrative cost in identity authentication for cross-platform and cross-domain operations, and alleviate the cumbersome process of typing personal information repeatedly for users. • Self-sovereign identity (SSI) [64]. SSI refers to the digital identity which is fully controlled by individual users.…”

Section: A Identity Managementmentioning

confidence: 99%

A Survey on Metaverse: Fundamentals, Security, and Privacy

wang¹,

Zhou²,

Zhang³

et al. 2022

Preprint

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<div>Metaverse, as an evolving paradigm of the next-generation Internet, aims to build a fully immersive, hyper spatiotemporal, and self-sustaining virtual shared space for humans to play, work, and socialize. Driven by recent advances in emerging technologies such as extended reality, artificial intelligence, and blockchain, metaverse is stepping from the science fiction to an upcoming reality. However, severe privacy invasions and security breaches (inherited from underlying technologies or emerged in the new digital ecology) of metaverse can impede its wide deployment. At the same time, a series of fundamental challenges (e.g., scalability and interoperability) can arise in metaverse security provisioning owing to the intrinsic characteristics of metaverse, such as immersive realism, hyper spatiotemporality, sustainability, and heterogeneity.</div><div>In this paper, we present a comprehensive survey of the fundamentals, security, and privacy of metaverse.</div><div>Specifically, we first investigate a novel distributed metaverse architecture and its key characteristics with ternary-world interactions. Then, we discuss the security and privacy threats, present the critical challenges of metaverse systems, and review the state-of-the-art countermeasures. Finally, we draw open research directions for building future metaverse systems.</div>

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Section: A Identity Managementmentioning

confidence: 99%

A Survey on Metaverse: Fundamentals, Security, and Privacy

wang¹,

Zhou²,

Zhang³

et al. 2022

Preprint

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“…Multi-Party Computation (MPC) is formally described and used in [ 120 ]. This field of research investigates methods for parties to compute a function together over their inputs without revealing them to the other parties [ 196 ].…”

Section: Rq-2: What Properties Formal Definitions and Cryptographic T...mentioning

confidence: 99%

“…This field of research investigates methods for parties to compute a function together over their inputs without revealing them to the other parties [ 196 ]. In [ 120 ], MPC was used in conjunction with Shamir’s Secret Sharing (SSS) [ 165 ]. This technique was used in two other articles to achieve the backup and recovery of credentials [ 134 , 137 ].…”

Section: Rq-2: What Properties Formal Definitions and Cryptographic T...mentioning

confidence: 99%

“…Three papers discuss the drawbacks of local credential storage and issuance [ 119 , 120 , 121 ]. We classify them as credential as a service because their solutions involve outsourcing the storage or processing of credentials.…”

Section: Rq-1: What Practical Problems Have Been Introduced and Solved?mentioning

confidence: 99%

“…Samir et al [ 120 ] affirmed that storing VCs in a single location is a potential point of failure in SSI implementations because wallets can be lost. Furthermore, they noted that digital wallets confined to a single mobile device might not remain online at all times.…”

Section: Rq-1: What Practical Problems Have Been Introduced and Solved?mentioning

confidence: 99%

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Self-Sovereign Identity: A Systematic Review, Mapping and Taxonomy

Schardong

Custódio

2022

Sensors

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Self-Sovereign Identity (SSI) is an identity model centered on the user. The user maintains and controls their data in this model. When a service provider requests data from the user, the user sends it directly to the service provider, bypassing third-party intermediaries. Thus, SSI reduces identity providers’ involvement in the identification, authentication, and authorization, thereby increasing user privacy. Additionally, users can share portions of their personal information with service providers, significantly improving user privacy. This identity model has drawn the attention of researchers and organizations worldwide, resulting in an increase in both scientific and non-scientific literature on the subject. This study conducts a comprehensive and rigorous systematic review of the literature and a systematic mapping of theoretical and practical advances in SSI. We identified and analyzed evidence from reviewed materials to address four research questions, resulting in a novel SSI taxonomy used to categorize and review publications. Additionally, open challenges are discussed along with recommendations for future work.

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