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GRADUATION: a GDPR-based mutation methodology

Contributo in Atti di convegno
Data di Pubblicazione:
2021
Abstract:
The adoption of the General Data Protection Regulation (GDPR) is enhancing different business and research opportunities that evidence the necessity of appropriate solutions supporting specification, processing, testing, and assessing the overall (personal) data management. This paper proposes GRADUATION (GdpR-bAseD mUtATION) methodology, for mutation analysis of data protection policies test cases. The new methodology provides generic mutation operators in reference to the currently applicable EU Data Protection Regulation. The preliminary implementation of the steps involved in the GDPR-based mutants derivation is also described.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Data protection; GDPR; Mutation operators; Privacy policies; Security policies
Elenco autori:
Daoudagh, Said; Marchetti, Eda
Autori di Ateneo:
DAOUDAGH SAID
MARCHETTI EDA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/398075
Titolo del libro:
Quality of Information and Communications Technology
Pubblicato in:
COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT)
Series
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URL

https://link.springer.com/chapter/10.1007%2F978-3-030-85347-1_23
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