Academic paper summary

 

(Cuzzocrea & Damiani, 2021)



Alfredo Cuzzocrea and Ernesto Damiani's paper, "Privacy-Preserving Big Data Exchange: Models, Issues, Future Research Directions," examines the challenges of maintaining privacy in big data exchanges. One proposed solution involves using blockchain technology, which allows for independent exchanges and reduces the need for third-party involvement. This approach provides data owners with a convenient way to protect their copyright and privacy. Another method proposes a fair exchange scheme using smart contracts and hard transfer protocols to ensure transaction fairness, autonomy, and preservation of privacy. The paper also addresses the challenges of open data markets and emphasizes the importance of preserving privacy in IoT-based data trading. In addition, it explores the healthcare sector and suggests changes to privacy regulations that would enable seamless data flow between healthcare entities and researchers. Lastly, the paper considers the impact of big data on individuals' control over their personal information and proposes the creation of Privacy Exchange Authorities (PEA) to empower individuals.



References:

Cuzzocrea, A. and Damiani, E. (2021) ‘Privacy-preserving Big Data Exchange: Models, issues, Future Research Directions’, 2021 IEEE International Conference on Big Data (Big Data) [Preprint]. doi:10.1109/bigdata52589.2021.9671686.




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