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Mohamed Mobarak

dblp:55/10347 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0000-0558-5691ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
2 papers
Authentication and access control · 41% Privacy and data protection · 32% Blockchain and cryptocurrency security · 14%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection
anonymity
1.322026
A Mercurial-Based Secure Authentication and Reputation Framework for the Multi-Context Metaverse · IEEE Trans. Dependable Secur. Comput. 2026
Privacy-Preserving Authentication for Unlinkable Avatars in the Metaverse · IEEE Trans. Inf. Forensics Secur. 2025
Authentication and access control
authentication
1.012026
A Mercurial-Based Secure Authentication and Reputation Framework for the Multi-Context Metaverse · IEEE Trans. Dependable Secur. Comput. 2026
Authentication and access control
mutual authentication
1.012026
A Mercurial-Based Secure Authentication and Reputation Framework for the Multi-Context Metaverse · IEEE Trans. Dependable Secur. Comput. 2026
Blockchain and cryptocurrency security
smart contract
1.012026
A Mercurial-Based Secure Authentication and Reputation Framework for the Multi-Context Metaverse · IEEE Trans. Dependable Secur. Comput. 2026
Privacy and data protection › anonymity
unlinkability
1.012026
A Mercurial-Based Secure Authentication and Reputation Framework for the Multi-Context Metaverse · IEEE Trans. Dependable Secur. Comput. 2026
Authentication and access control
anonymous authentication
0.912025
Privacy-Preserving Authentication for Unlinkable Avatars in the Metaverse · IEEE Trans. Inf. Forensics Secur. 2025
Cryptographic primitives and cryptanalysis › public-key cryptography › digital signatures
group signature
0.912025
Privacy-Preserving Authentication for Unlinkable Avatars in the Metaverse · IEEE Trans. Inf. Forensics Secur. 2025

Methods — techniques the papers use, named apart from their topics

zero-knowledge proofs · 1.0time-based hash chain · 1.0ring signature · 1.0mercurial signature · 1.0socket programming · 0.9
YearPublicationVenuePosition
2026 A Mercurial-Based Secure Authentication and Reputation Framework for the Multi-Context Metaverse
abstract
The metaverse transforms how individuals interact, work, and engage in virtual environments, creating new opportunities in gaming, education, e-commerce, and social networking. At the core of this experience are avatars (i.e., digital representations of users that serve as their proxies in virtual spaces). Ensuring secure and privacy-preserving communication between avatars presents critical challenges, particularly in protecting metaverse user privacy by preventing the linking of avatars to users' social and professional lives. Adopting anonymous schemes such as ring signature schemes requires access to all public keys within the anonymity set, which is impractical in the metaverse. In this paper, we proposeSPARTA(Secure andPrivacy-preserving protocol withRole separation andTrustworthiness forAvatars in the metaverse), a protocol that enables avatar authentication and maintains avatar unlinkability. By leveraging mercurial signatures, our approach allows metaverse users to generate multiple unlinkable avatars without requiring repeated registration with the metaverse service provider, thereby enabling seamless role separation. Additionally, by using a time-based hash chain, only avatars in possession of a reputation token from the time-based hash chain can submit their feedback on a smart contract based on their interactions. Given the soundness property of zero-knowledge proof and the origin-hiding property of mercurial signatures, we formally prove that${\sf SPARTA}$achieves mutual authentication, avatar unlinkability, and penalization enforcement. Additionally, we analyze the performance overheads introduced by its cryptographic primitives and compare${\sf SPARTA}$with existing metaverse authentication protocols. Furthermore, we implement the protocol using socket programming. This implementation simulates real-time message exchanges between protocol entities, resulting in an end-to-end latency of 105 ms. Compared to existing metaverse authentication frameworks,${\sf SPARTA}$provides unlinkable avatar authentication that achieves mutual authentication, role separation, and data sovereignty without reliance on an online trusted third party. The concurrent implementation between two Raspberry Pi devices demonstrates the scalability of${\sf SPARTA}$, achieving a total completion time of 17.338 seconds for 1000 concurrent authentications, corresponding to a throughput of approximately 57.7 authentications per second, confirming its practicality for large-scale metaverse environments.
Mohamed Seifelnasr, Mohamed Mobarak, Riham AlTawy, Amr M. Youssef
IEEE Trans. Dependable Secur. Comput.2
2025 Privacy-Preserving Authentication for Unlinkable Avatars in the Metaverse
abstract
The metaverse is a virtual world that mirrors real life, allowing users to engage in activities and access services without the constraints of time and space. In the metaverse, users can create one or more avatars that reflect their personal preferences, enabling them to participate in activities that match their tastes and needs. To protect users’ freedom and anonymity, it is imperative for metaverse platforms to support the creation ofunlinkableavatars. This ensures that the different avatars a user creates cannot be connected, keeping their virtual identities separate and reducing the risk of retaliation for their actions. In this paper, we propose an unlinkable avatar authentication scheme, UAVA, which leverages cryptographic group signatures to enable metaverse users to create and certify their avatars without interaction with service providers. These certified avatars can then be anonymously authenticated, ensuring unlinkability between multiple avatars belonging to the same user. UAVA maintains anonymity between users and their avatars, while allowing service providers to trace malicious avatars back to their users. We formally define and prove the security properties of UAVA, and implement the protocol using socket programming, and report on its cryptographic overheads. We also evaluate its cryptographic overhead and compare it to related protocols in terms of efficiency, security, and scalability.
Mohamed Mobarak, Riham AlTawy, Amr M. Youssef
IEEE Trans. Inf. Forensics Secur.1