Title | Trustworthiness in IoT – A Standards Gap Analysis on Security, Data Protection and Privacy |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Labib, N. S., Brust, M. R., Danoy, G., Bouvry, P. |
Conference Name | 2019 IEEE Conference on Standards for Communications and Networking (CSCN) |
Date Published | oct |
Keywords | autonomous aerial vehicles, composability, data privacy, data protection, Data Protection and Privacy, data-driven systems, Energy efficiency, Gap Analysis, Internet of Things, interoperability, mobile IoT devices, optimised management, privacy-sensitive data, Protocols, pubcrawl, quality living, regulatory foundation, security, security-critical, security-critical data, solid technical foundation, standard gap analysis, standardisation, Standards, Trusted Computing, trustworthiness, UAVs, unmanned aerial vehicles, value-added services |
Abstract | With the emergence of new digital trends like Internet of Things (IoT), more industry actors and technical committees pursue research in utilising such technologies as they promise a better and optimised management, improved energy efficiency and a better quality living through a wide array of value-added services. However, as sensing, actuation, communication and control become increasingly more sophisticated, such promising data-driven systems generate, process, and exchange larger amounts of security-critical and privacy-sensitive data, which makes them attractive targets of attacks. In turn this affirms the importance of trustworthiness in IoT and emphasises the need of a solid technical and regulatory foundation. The goal of this paper is to first introduce the concept of trustworthiness in IoT, its main pillars namely, security, privacy and data protection, and then analyse the state-of-the-art in research and standardisation for each of these subareas. Throughout the paper, we develop and refer to Unmanned Aerial Vehicles (UAVs) as a promising value-added service example of mobile IoT devices. The paper then presents a thorough gap analysis and concludes with recommendations for future work. |
DOI | 10.1109/CSCN.2019.8931393 |
Citation Key | labib_trustworthiness_2019 |