Public Private Data Partnerships enabling Privacy Technologies

Anant, Aaloka and Prasad, Ramjee (2022) Public Private Data Partnerships enabling Privacy Technologies. In: 2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC). IEEE, Herning, Denmark, pp. 86-91. ISBN 978-1-6654-7319-4

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Abstract

Data is the core element of information which helps build artificial intelligence and other modern technology advancements. Data exchanges between different companies and public bodies has been a major contributor to development of society. This data exchange between different parties, must adhere to privacy preservation regulations. Best way to preserve privacy is to use anonymization. Though truly anonymized datasets are difficult to combine and loose utility as combined dataset. This inhibits collaboration between different parties for any usage of data where personal or personally identifiable information may be involved. This paper establishes a concept on data exchange partnerships in such a way that data can be combined though privacy is still preserved. Using the experiment demonstrated in this paper, data could be combined from two different datasets, without each party having access to the original dataset. Most advanced anonymization techniques can be used using this approach to anonymize data while it is combined using the suggested framework in this paper. The experiment uses technologies like docker and edge computing, though any other technology can be used provided it is bound by the rules defined in this concept. Such an approach can enable wider exchange of information between different parties across the globe, leading to accelerated research and innovation with public private data partnerships

Item Type:	Book Section
Uncontrolled Keywords:	Wireless communication; Data privacy; Technological innovation; Privacy; Regulation; Information filtering; Multimedia communication
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security K Law > KDK Republic of Ireland > Data Protection H Social Sciences > HD Industries. Land use. Labor > Large Industry. Corporations. J Political Science > JS Local government Municipal government > Public Sector
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Tamara Malone
Date Deposited:	20 Jan 2024 13:45
Last Modified:	20 Jan 2024 13:45
URI:	https://norma.ncirl.ie/id/eprint/6937

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