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PODDA Emanuela

ORCID
0000-0002-3548-4207
Main Referenced Co-authors
ABELLÁN ÁLVAREZ, Iván  (1)
LIMA BAIMA, Renan  (1)
Palmirani, Monica (1)
PAVIĆ, Ivan  (1)
VIGNA, Francesco  (1)
Main Referenced Keywords
Anonymization (2); Anonymization, De-Anonymization, Pseudonymization, GDPR, Data Governance (1); Data Minimization (1); Data Protection (1); energy consumption optimization (1);
Main Referenced Unit & Research Centers
Alma AI - Alma Mater Studiorum Università di Bologna (1)
Alma AI Bologna (1)
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations (1)
Main Referenced Disciplines
Law, criminology & political science: Multidisciplinary, general & others (3)
Management information systems (1)
Computer science (1)

Publications (total 4)

The most downloaded
35 downloads
LIMA BAIMA, R., ABELLÁN ÁLVAREZ, I., PAVIĆ, I., & PODDA, E. (20 January 2024). Public Sector Sustainable Energy Scheduler - A Blockchain and IoT Integrated System. Energy Proceedings, 39 (2), 9. doi:10.46855/energy-proceedings-10922 https://hdl.handle.net/10993/60072

The most cited

1 citations (OpenCitations)

Podda, E., & Vigna, F. (2021). Anonymization between minimization and erasure: The perspectives of French and Italian data protection authorities. In Electronic Government and the Information Systems Perspective: 10th International Conference, EGOVIS 2021 Virtual Event, September 27–30, 2021 Proceedings (1, pp. 103-114). Cham, Switzerland: Springer. doi:10.1007/978-3-030-86611-2 https://hdl.handle.net/10993/48615

LIMA BAIMA, R., ABELLÁN ÁLVAREZ, I., PAVIĆ, I., & PODDA, E. (20 January 2024). Public Sector Sustainable Energy Scheduler - A Blockchain and IoT Integrated System. Energy Proceedings, 39 (2), 9. doi:10.46855/energy-proceedings-10922
Peer Reviewed verified by ORBi

PODDA, E. (2023). Big Data Analysis Systems in IoE environments for Managing Privacy and Data Protection: Pseudonymity, De-anonymization and the Right to Be Forgotten [Doctoral thesis, Alma Mater Studiorum Università di Bologna]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57306

Podda, E., & Palmirani, M. (2021). Inferring the Meaning of Non-personal, Anonymized, and Anonymous Data. In V. Rodríguez-Doncel, M. Palmirani, M. Araszkiewicz, P. Casanovas, U. Pagallo, ... G. Sartor, AI Approaches to the Complexity of Legal Systems (XI-XII - Vol.13048, pp. 269 - 282). Cham, Switzerland: Springer. doi:10.1007%2F978-3-030-89811-3_19
Peer reviewed

Podda, E., & Vigna, F. (2021). Anonymization between minimization and erasure: The perspectives of French and Italian data protection authorities. In Electronic Government and the Information Systems Perspective: 10th International Conference, EGOVIS 2021 Virtual Event, September 27–30, 2021 Proceedings (1, pp. 103-114). Cham, Switzerland: Springer. doi:10.1007/978-3-030-86611-2
Peer reviewed

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