TagUBig-Taming Your Big Data

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2018

Autores

ferreira, a (Autor) FMUP; Muchagata, J (Autor) Outra

Ata de Conferência Internacional

Título: Proceedings - International Carnahan Conference on Security Technology

52nd Annual IEEE International Carnahan Conference on Security Technology, ICCST 2018

22 October 2018 through 25 October 2018

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00T-3KT

DOI: 10.1109/ccst.2018.8585539

Abstract (EN): Every day we generate great amounts of data, from and to various devices, that blindly share all over the globe, over different platforms, service providers and individual users. It is not possible today for an individual to be sure that what s/he has shared is exactly what s/he wants to be shared and to whom. Individuals have no control over their Big Data (BiDa) before it is released 'in the wild'. With the use of more and more devices and applications generating great amounts of individuals' data, each one of us is bound to be drawn in our BiDa. On the other hand, users' personal BiDa can potentially be a useful source of information to better understand what data are used for each individual's interaction profile and, when we know this, what are the most adequate measures to protect that data. Thus, we can better tame what we better know. Current access control models need to take this challenge on board because system's privacy and security controls are more likely to be compromised due to the misconfiguration or inadequate access control policies rather than the failure of cryptographic primitives or protocols. This paper presents TagUBig-Taming Your Big Data, a framework to control and improve transparency, privacy, availability and usability when users interact with applications. The framework comprises components that can face some of the European General Data Protection Regulation (GDPR) key challenges regarding personal data protection, which are introduced in the paper. A healthcare proof of concept use-case scenario is also presented together with the description and discussion of the features that have already been developed and tested. TagUBig can be used to empower individual users, foster trust and be applied in any domain that requires the best balance between availability and confidentiality in today's mobile anytime/anywhere environment. © 2018 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica