Towards automated privacy risk assessments in IoT systems

Milan Markovic; Waqar Asif; David Corsar; Naomi Jacobs; Peter Edwards; Muttukrishnan  Rajarajan; Caitlin Cottrill

doi:10.1145/3286719.3286723

Towards automated privacy risk assessments in IoT systems

Milan Markovic, Waqar Asif, David Corsar, Naomi Jacobs, Peter Edwards, Muttukrishnan Rajarajan, Caitlin Cottrill

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

5 Citations (Scopus)

10 Downloads (Pure)

Abstract

Internet of Things (IoT) systems can often pose risk to users’ privacy via disclosure of personal information to third parties. In this paper, we argue that to assess privacy risks associated with IoT systems, an automated solution is required due to the increasing pervasiveness and complexity of deployed IoT systems. We propose requirements for an automated privacy risk assessment service and outline our
future plans for realising such a solution.

Original language	English
Title of host publication	M4IOT ’18: Workshop on Middleware and Applications for the Internet of Things
Place of Publication	New York
Publisher	ACM
Pages	15-18
Number of pages	4
ISBN (Electronic)	978-1-4503-6118-7
DOIs	https://doi.org/10.1145/3286719.3286723
Publication status	Published - 10 Dec 2018
Event	5th International Workshop on Middleware and Applications for the Internet of Things - Rennes, France Duration: 10 Dec 2018 → 11 Dec 2018

Workshop

Workshop	5th International Workshop on Middleware and Applications for the Internet of Things
Abbreviated title	M4IOT ’18
Country/Territory	France
City	Rennes
Period	10/12/18 → 11/12/18

Keywords

Internet of Things
Privacy risk
provenance
linked data

Access to Document

10.1145/3286719.3286723Licence: Unspecified

Accepted Manuscript
© ACM New York, NY, USA, 2018 This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published inM4IoT'18 Proceedings of the 5th Workshop on Middleware and Applications for the Internet of Things, http://dx.doi.org/10.1145/10.1145/3286719.3286723.
Accepted author manuscript, 557 KBLicence: Other

Cite this

Markovic, M, Asif, W, Corsar, D, Jacobs, N, Edwards, P, Rajarajan, M & Cottrill, C 2018, Towards automated privacy risk assessments in IoT systems. in M4IOT ’18: Workshop on Middleware and Applications for the Internet of Things. ACM, New York, pp. 15-18, 5th International Workshop on Middleware and Applications for the Internet of Things, Rennes, France, 10/12/18. https://doi.org/10.1145/3286719.3286723

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keywords = "Internet of Things, Privacy risk, provenance, linked data",

author = "Milan Markovic and Waqar Asif and David Corsar and Naomi Jacobs and Peter Edwards and Muttukrishnan Rajarajan and Caitlin Cottrill",

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AU - Markovic, Milan

AU - Asif, Waqar

AU - Corsar, David

AU - Jacobs, Naomi

AU - Edwards, Peter

AU - Rajarajan, Muttukrishnan

AU - Cottrill, Caitlin

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N2 - Internet of Things (IoT) systems can often pose risk to users’ privacy via disclosure of personal information to third parties. In this paper, we argue that to assess privacy risks associated with IoT systems, an automated solution is required due to the increasing pervasiveness and complexity of deployed IoT systems. We propose requirements for an automated privacy risk assessment service and outline ourfuture plans for realising such a solution.

AB - Internet of Things (IoT) systems can often pose risk to users’ privacy via disclosure of personal information to third parties. In this paper, we argue that to assess privacy risks associated with IoT systems, an automated solution is required due to the increasing pervasiveness and complexity of deployed IoT systems. We propose requirements for an automated privacy risk assessment service and outline ourfuture plans for realising such a solution.

KW - Internet of Things

KW - Privacy risk

KW - provenance

KW - linked data

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M3 - Published conference contribution

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BT - M4IOT ’18: Workshop on Middleware and Applications for the Internet of Things

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ER -

Towards automated privacy risk assessments in IoT systems

Abstract

Workshop

Keywords

Access to Document

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Cite this