Spoke 10:
Data Governance and Protection

Coordinator:
Pierangela SAMARATI
Full Professor, UNIMI

Modern digital society is based, and will increasingly be based, on the gathering, sharing, and analysis of large collections of data, with clear benefits, from the personal, to the business, research, and social domains. The full realization of a digital society based on data can only happen if there is trust in the security and privacy of such data, and therefore if solutions that guarantee correct protection and use of data are available. Data protection laws and regulations impose restrictions that limit the use of data, and individuals, as well as companies, demand compliance with their protection requirements and the assurance of effective protection of their data. TA 10 responds to this need by empowering the various actors involved in data sharing and using scenarios with control over their data, supporting data sharing in a selective and secure way, at the same time guaranteeing functionality, efficiency, and scalability. The data protection solutions developed within TA 10 will enable and encourage new application scenarios and introduce new opportunities for data sharing, in a controlled way, in compliance with privacy and access restrictions and guarantee integrity of the data and the results of the analyses. TA 10 will therefore contribute to a true and full realization of digital sovereignty.

Project: Data Governance and Data Protection (DGDP)
PI: Pierangela SAMARATI, Full Professor, UNIMI

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  • Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Francesco Rundo, and Fabio Scotti (2023). Treebased optimization for image-to-image translation with imbalanced datasets on the edge. In: Proc. of the 2023 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA).
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  • Giuseppe Cascavilla, Damian A Tamburri, Francesco Leotta, Massimo Mecella, and WillemJan Van Den Heuvel (2023). Counter-terrorism in cyber-physical spaces: Best practices and technologies from the state of the art. In: Information and Software Technology.
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  • Sabrina De Capitani di Vimercati, Sara Foresti, and Pierangela Samarati (2023). Protecting Data and Queries in Cloud-Based Scenarios. In: SN Computer Science 4.5.
  • Ruggero Donida Labati, Vincenzo Piuri, Francesco Rundo, and Fabio Scotti (2023). Iris reflection segmentation from ocular images acquired in uncontrolled and uncooperative conditions. In: Proc. of the 2023 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications.
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  • Roopali Dogra, Shalli Rani, and Gabriele Gianini (2023). REERP: A Region-Based Energy-Efficient Routing Protocol for IoT Wireless Sensor Networks. In: Energies 16.17
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