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See detailTechnical report on data protection and privacy in smart ICT: Internet of Things: Gap analysis between scientific research and technical standardisation: Gap analysis Internet of Things
Samir Labib, Nader UL; Brust, Matthias R. UL; Danoy, Grégoire UL et al

in Technical report on data protection and privacy in smart ICT (2019), 1

With the emergence of new digital trends like the Internet of Things (IoT), more industry actors and technical committees pursue research in utilizing such technologies as they promise better and ... [more ▼]

With the emergence of new digital trends like the Internet of Things (IoT), more industry actors and technical committees pursue research in utilizing such technologies as they promise better and optimized management, improved energy efficiency and better quality living by facilitating a magnitude of value-added services. However, as communication, sensing and actuation become increasingly sophisticated, such promising data-driven IoT systems generate, process, and exchange larger amounts of data, some of which is privacy-sensitive and security-critical. The sustained increase in number of connected devices, catalyzed by IoT, affirms the importance of addressing data protection, privacy and security challenges, as indices of trust, to achieve market acceptance. This consequently, emphasizes the need of a solid technical and regulatory foundation to ensure trustworthiness within the IoT ecosystem. The goal of this study is to first introduce the concept of trustworthiness in IoT with its main pillars, data protection, privacy and security, and then analyze developments in research and standardization for each of these. The study presents a gap analysis on data protection, privacy and security between research and standardization, throughout which the use case of Unmanned Aerial Vehicles (UAVs) is referred to, as a promising value-added service example of mobile IoT devices. The study concludes with suggestions for future research and standardization in order to address the identified gaps. [less ▲]

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