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Publicação
Mobile crowdSensing privacy
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| 4.42 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Information and communication technologies have been evolving
rapidly, providing more and more alternative ways of accessing information,
accessible through multiple paths and devices, transforming IoT into a giant
digital system. This heterogeneous diversity ecosystem allows travel to the
CrowdSensing era. Information in its role of reducing uncertainty is responsible
for finding ways and shortcuts that increase efficiency and reduce the waste of
time in the decision-making process. The massive spread of IoT devices has led
to CrowdSensing, a sensor-based ecosystem of many different formats and
technologies, in which information created by sensors is essential for decisionmaking
processes and for improving business process efficiency. Service providers
are beginning to design new business models that consider the smart
things scenario, providing sensing as a service (SaaS). This article aims to
provide insight into the Mobile CrowdSensing application environment by
focusing on issues related to privacy of participant.
Descrição
Palavras-chave
IoT Sensing Mobile crowdSensing Privacy
Contexto Educativo
Citação
Guarda, T.; Augusto, M. F.; Lopes, Isabel Maria (2019). Mobile crowdSensing privacy. In Rocha Álvaro (eds.) New Knowledge in Information Systems and Technologies. In World Conference on Information Systems and Technologies WorldCIST'19. Advances in Intelligent Systems and Computing. Springer, Cham. 3:932, p. 621-628.