Privacy risk analysis in the IoT domain
| Autor: | Juan Hernández-Serrano, Jose L. Muñoz, Hans-Peter Schwefel, Arne Bröring, Olga León, Lars Møller Mikkelsen |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica, Universitat Politècnica de Catalunya. ISG - Grup de Seguretat de la Informació |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Risk analysis
Internet of things IoT Internet de les coses Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors [Àrees temàtiques de la UPC] Computer science Context (language use) 02 engineering and technology Computer security computer.software_genre Task (project management) Domain (software engineering) Set (abstract data type) Software 0202 electrical engineering electronic engineering information engineering Risk assessment business.industry 020206 networking & telecommunications 020207 software engineering 16. Peace & justice Information sensitivity Privacy Key (cryptography) Security business computer Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors::Internet [Àrees temàtiques de la UPC] |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) GIoTS Hernández-Serrano, J, Muñoz, J, León, O, Mikkelsen, L M, Schwefel, H-P & Bröring, A 2018, Privacy risk analysis in the IoT domain . in 2018 Global IoT Summit (GIoTS) Proceedings ., 8534534, IEEE, 2018 Global Internet of Things Summit (GIoTS), Bilbao, Spain, 04/06/2018 . https://doi.org/10.1109/GIOTS.2018.8534534 |
| DOI: | 10.1109/GIOTS.2018.8534534 |
| Popis: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Most IoT systems are using or exchanging user related information between system components. This means that privacy is a key factor in these systems. Privacy, both in terms of not allowing unauthorized access to information, but also in terms of handling sensitive information correctly and responsibly. As IoT systems typically are comprised of many software and hardware distributed components, ensuring privacy is a challenging task. This paper proposes a risk rating methodology for identifying and rating privacy risks, and demonstrates how to apply this methodology in an IoT use case set in the context of the EU H2020 BIG IoT project. It is also demonstrated how to handle the results of the risk rating methodology. |
| Databáze: | OpenAIRE |
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