Enhancing Security and Scalability of Metaverse with Blockchain-based Consensus Mechanisms

Rajawat, Anand Singh; Goyal, S. B.; Goyal, Aarti; Rajawat, Ketan; Raboacă, Maria Simona; Verma, Chaman; Mihălţan, Traian Candin

doi:10.1109/ecai58194.2023.10194035

Cited by 7 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In light of this fact [17], the approach that has been presented makes use of machine learning in order to identify the factors that are primarily [18] responsible for the failure of root canal therapy, such as a broken instrument, an overfilled cavity, a perforated root, or an underfilled cavity [4,6,7]. This paper also provides insights into the importance of [19][20][21] these variables for determining the tooth's survival time after root canal therapy (treatment longevity detection), which is not revealed in many studies.…”

Section: Literature Reviewmentioning

confidence: 99%

Longevity Recommendation for Root Canal Treatment Using Machine Learning

Choudhari,

Rajawat,

Goyal

2024

RAiSE-2023

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Longevity Recommendation for Root Canal Treatment Using Machine Learning

Choudhari,

Rajawat,

Goyal

2024

RAiSE-2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…AI-powered predictive analytics can help telecom operators identify potential fraud and assess credit risk, which is essential for ensuring a secure onboarding process, customer support, and enhancing the customer's experience during the onboarding process [12].…”

Section: Predictive Analyticsmentioning

confidence: 99%

Review and Analysis of the Literature: Artificial Intelligence-Based Digital Transformation of Automated Customer Onboarding

Thokal,

Patil

2024

RAiSE-2023

View full text Add to dashboard Cite

show abstract

Blockchain-Based Trust Management for Virtual Entities in the Metaverse: A Model for Avatar and Virtual Organization Interactions

Awan,

Din,

Almogren

et al. 2023

IEEE Access

View full text Add to dashboard Cite

As blockchain technology and decentralized systems evolve, the security of these infrastructures faces challenges from increasingly sophisticated threats. This research introduces a methodology designed to strengthen the security parameters of distributed systems, with a specific focus on its applicability within the Metaverse. Our probabilistic trust model dynamically allocates weights to system nodes based on their observed behaviour and the reputation of associated entities. This mechanism effectively counters a range of security threats, including the Sybil, Good/Bad mouthing, and On/Off attacks. By integrating blockchain technology, we establish a robust trust foundation within the Metaverse, ensuring enhanced security for digital interactions. To further combat deceptive activities and reduce superfluous intermediaries, our model incorporates smart contracts. Beyond their transactional utility, these contracts function as trust regulators for interactions among Metaverse avatars. Our trust model efficiently differentiates various virtual entities, assigning trust scores that resonate with their specific classifications. We also introduce a decentralized dispute resolution framework, where virtual entities act as impartial arbiters, promoting transparency and fairness in conflict resolution. We have implemented our proposed solution on real-time blockchain platform in comparison with the existing appraoches i.e., BTCGS and MSBC-CTrust. The evident enhancements in threat detection capabilities and the agility in neutralizing these threats validate our model's resilience and adaptability.

show abstract

Enhancing Security and Scalability of Metaverse with Blockchain-based Consensus Mechanisms

Cited by 7 publications

References 11 publications

Longevity Recommendation for Root Canal Treatment Using Machine Learning

Longevity Recommendation for Root Canal Treatment Using Machine Learning

Review and Analysis of the Literature: Artificial Intelligence-Based Digital Transformation of Automated Customer Onboarding

Blockchain-Based Trust Management for Virtual Entities in the Metaverse: A Model for Avatar and Virtual Organization Interactions

Contact Info

Product

Resources

About