Security and privacy in metaverse: A comprehensive survey

Y Huang, YJ Li, Z Cai - Big Data Mining and Analytics, 2023 - ieeexplore.ieee.org
Metaverse describes a new shape of cyberspace and has become a hot-trending word since
2021. There are many explanations about what Meterverse is and attempts to provide a …

Business data sharing through data marketplaces: A systematic literature review

AE Abbas, W Agahari, M Van de Ven… - Journal of Theoretical …, 2021 - mdpi.com
Data marketplaces are expected to play a crucial role in tomorrow's data economy, but such
marketplaces are seldom commercially viable. Currently, there is no clear understanding of …

Trading private range counting over big IoT data

Z Cai, Z He - 2019 IEEE 39th international conference on …, 2019 - ieeexplore.ieee.org
Data privacy arises as one of the most important concerns, facing the pervasive
commoditization of big data statistic analysis in Internet of Things (IoT). Current solutions are …

A survey on data pricing: from economics to data science

J Pei - IEEE Transactions on knowledge and Data …, 2020 - ieeexplore.ieee.org
Data are invaluable. How can we assess the value of data objectively, systematically and
quantitatively? Pricing data, or information goods in general, has been studied and practiced …

Private data trading towards range counting queries in internet of things

Z Cai, X Zheng, J Wang, Z He - IEEE Transactions on Mobile …, 2022 - ieeexplore.ieee.org
The data collected in Internet of Thing (IoT) systems (IoT data) have stimulated dramatic
extension to the boundary of commercialized data statistic analysis, owing to the pervasive …

A survey of data pricing for data marketplaces

M Zhang, F Beltrán, J Liu - IEEE Transactions on Big Data, 2023 - ieeexplore.ieee.org
A data marketplace is an online venue that brings data owners, data brokers, and data
consumers together and facilitates commoditisation of data amongst them. Data pricing, as a …

Data pricing in machine learning pipelines

Z Cong, X Luo, J Pei, F Zhu, Y Zhang - Knowledge and Information …, 2022 - Springer
Abstract Machine learning is disruptive. At the same time, machine learning can only
succeed by collaboration among many parties in multiple steps naturally as pipelines in an …

Agora: A privacy-aware data marketplace

V Koutsos, D Papadopoulos… - … on Dependable and …, 2021 - ieeexplore.ieee.org
We propose Agora, the first blockchain-based data marketplace that enables multiple
privacy-concerned parties to get compensated for contributing and exchanging data, without …

[HTML][HTML] Data-driven learning for data rights, data pricing, and privacy computing

J Xu, N Hong, Z Xu, Z Zhao, C Wu, K Kuang, J Wang… - Engineering, 2023 - Elsevier
In recent years, data has become one of the most important resources in the digital
economy. Unlike traditional resources, the digital nature of data makes it difficult to value …

More than privacy: Adopting differential privacy in game-theoretic mechanism design

L Zhang, T Zhu, P **ong, W Zhou, PS Yu - ACM Computing Surveys …, 2021 - dl.acm.org
The vast majority of artificial intelligence solutions are founded on game theory, and
differential privacy is emerging as perhaps the most rigorous and widely adopted privacy …