Privacy risk analysis in the IoT domain

Juan Hernández-Serrano; Jose Muñoz; Olga León; Lars Møller Mikkelsen; Hans-Peter Schwefel; Arne Bröring

doi:10.1109/GIOTS.2018.8534534

Privacy risk analysis in the IoT domain

Juan Hernández-Serrano, Jose Muñoz, Olga León, Lars Møller Mikkelsen, Hans-Peter Schwefel, Arne Bröring

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2018 Global IoT Summit (GIoTS) Proceedings
Number of pages	6
Publisher	IEEE
Publication date	2018
Article number	8534534
ISBN (Print)	978-1-5386-6452-0
ISBN (Electronic)	978-1-5386-6451-3
DOIs	https://doi.org/10.1109/GIOTS.2018.8534534
Publication status	Published - 2018
Event	2018 Global Internet of Things Summit (GIoTS) - Bilbao, Spain Duration: 4 Jun 2018 → 7 Jun 2018 http://globaliotsummit.org/

Conference

Conference	2018 Global Internet of Things Summit (GIoTS)
Country/Territory	Spain
City	Bilbao
Period	04/06/2018 → 07/06/2018
Internet address	http://globaliotsummit.org/

Keywords

Internet of Things
IoT
Risk assessment
privacy
security

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10.1109/GIOTS.2018.8534534

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title = "Privacy risk analysis in the IoT domain",

abstract = "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.",

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author = "Juan Hern{\'a}ndez-Serrano and Jose Mu{\~n}oz and Olga Le{\'o}n and Mikkelsen, {Lars M{\o}ller} and Hans-Peter Schwefel and Arne Br{\"o}ring",

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AU - Hernández-Serrano, Juan

AU - Muñoz, Jose

AU - León, Olga

AU - Mikkelsen, Lars Møller

AU - Schwefel, Hans-Peter

AU - Bröring, Arne

PY - 2018

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N2 - 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.

AB - 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.

KW - Internet of Things

KW - IoT

KW - Risk assessment

KW - privacy

KW - security

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M3 - Article in proceeding

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BT - 2018 Global IoT Summit (GIoTS) Proceedings

PB - IEEE

T2 - 2018 Global Internet of Things Summit (GIoTS)

Y2 - 4 June 2018 through 7 June 2018

ER -

Privacy risk analysis in the IoT domain

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Keywords

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