Security and Privacy for the Internet of Things: An Overview of the Project

Arouna, Sabrine, Champagnat, Ronan, Coustaty, Mickael, Falquet, Giles, Ghadfi, Sami, Ghamri-Doudane, Yacine, Gomez-Kramer, Petra, Howells, Gareth, McDonald-Maier, Klaus D., Murphy, Julian, and others. (2019) Security and Privacy for the Internet of Things: An Overview of the Project. In: Proceedings of the 2019 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC). . IEEE (doi:10.1109/SMC.2019.8914221) (KAR id:76965)

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Official URL: http://dx.doi.org/10.1109/SMC.2019.8914221

Abstract

As the adoption of digital technologies expands, it becomes vital to build trust and confidence in the integrity of such technology. The SPIRIT project investigates the proof of concept of employing novel secure and privacy-ensuring techniques in services set-up in the Internet of Things (IoT) environment, aiming to increase the trust of users in IoTbased systems. The proposed system integrates three highly novel technology concepts developed by the consortium partners. Specifically, a technology, termed ICMetrics, for deriving encryption keys directly from the operating characteristics of digital devices; secondly, a technology based on a contentbased signature of user data in order to ensure the integrity of sent data upon arrival; a third technology, termed semantic firewall, which is able to allow or deny the transmission of data derived from an IoT device according to the information contained within the data and the information gathered about the requester.

Item Type:	Conference or workshop item (Proceeding)
DOI/Identification number:	10.1109/SMC.2019.8914221
Uncontrolled keywords:	cyber security
Subjects:	Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems) T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7882.P3 Pattern recognition systems
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User:	Gareth Howells
Date Deposited:	02 Oct 2019 13:26 UTC
Last Modified:	05 Nov 2024 12:41 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/76965 (The current URI for this page, for reference purposes)

University of Kent Author Information

Howells, Gareth.

Creator's ORCID:	https://orcid.org/0000-0001-5590-0880
CReDIT Contributor Roles:

Murphy, Julian.

Creator's ORCID:
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