Rubino, Marta (A.A. 2022/2023) Big data: towards a regulatory evolution. Tesi di Laurea in Privacy in the digital world, Luiss Guido Carli, relatore Antonio Cilento, pp. 80. [Master's Degree Thesis]

Full text for this thesis not available from the repository.

Abstract/Index

Big data: definitions and characteristics. Definition of big data. Cgaracteristics. The data chain. The relevance of big data in different production sectors. Data protection requirements in relevant regulations. Data types, data processing and consent. Profiling and anonymization of data. Accountability and data protection. Big data and artificial intelligence: the need for a methodological approach in risk management. Security measures: balancing privacy protection and cybersecurity. Security breaches and personal data breaches. Data transfer, data portability, and interoperability. Big data and privacy: towards a new regulation. Big data and privacy: open issues. A quick look at the old regulation. To look towards the new one. EBSI, EIDAS, ESSIF. The artificial intelligence act.

References

Bibliografia: pp. 76-78. Sitografia: pp. 79-80.

Thesis Type:	Master's Degree Thesis
Institution:	Luiss Guido Carli
Degree Program:	Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91)
Chair:	Privacy in the digital world
Thesis Supervisor:	Cilento, Antonio
Thesis Co-Supervisor:	Kallinikos, Ioannis
Academic Year:	2022/2023
Session:	Autumn
Deposited by:	Alessandro Perfetti
Date Deposited:	23 Apr 2024 09:05
Last Modified:	23 Apr 2024 09:05
URI:	https://tesi.luiss.it/id/eprint/38512

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