Metaverse: Security and Privacy Issues
May 16, 2022 Β· Declared Dead Β· π International Conference on Trust, Privacy and Security in Intelligent Systems and Applications
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Roberto Di Pietro, Stefano Cresci
arXiv ID
2205.07590
Category
cs.CR: Cryptography & Security
Cross-listed
cs.CY,
cs.SI
Citations
194
Venue
International Conference on Trust, Privacy and Security in Intelligent Systems and Applications
Last Checked
4 months ago
Abstract
The metaverse promises a host of bright opportunities for business, economics, and society. Though, a number of critical aspects are still to be considered and the analysis of their impact is almost non-existent. In this paper, we provide several contributions. We start by analysing the foundations of the metaverse, later we focus on the novel privacy and security issues introduced by this new paradigm, and finally we broaden the scope of the contribution highlighting some of the far-reaching yet logical implications of the metaverse on a number of domains, not all of them in tech. Throughout the paper, we also discuss possible research directions. We believe that the provided holistic view on the foundations, technology, and issues related to the metaverse-with a focus on security and privacy-, other than being an interesting contribution on its own, could also pave the way for a few multidisciplinary research avenues.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Cryptography & Security
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
The Limitations of Deep Learning in Adversarial Settings
R.I.P.
π»
Ghosted
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
R.I.P.
π»
Ghosted
Spectre Attacks: Exploiting Speculative Execution
R.I.P.
π»
Ghosted
How To Backdoor Federated Learning
R.I.P.
π»
Ghosted
Evasion Attacks against Machine Learning at Test Time
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted