Zhou, B., Maines, C., Tang, S. et al. (4 more authors) (2018) A 3-D security modeling platform for social IoT environments. IEEE Transactions on Computational Social Systems, 5 (4). pp. 1174-1188.
Abstract
Social Internet-of-Things (SIoT) environment comprises not only smart devices but also the humans who interact with these IoT devices. The benefits of such system are overshadowed due to the cyber security issues. A novel approach is required to understand the security implication under such a dynamic environment while taking both the social and technical aspects into consideration. This paper addressed such challenges and proposed a 3-D security modeling platform that can capture and model the security requirements in the SIoT environment. The modeling process is graphical notation based and works as a security extension to the Business Process Model and Notation. Still, it utilizes the latest 3-D game technology; thus, the security extensions are generated through the third dimension. Consequently, the introduction of security extensions will not increase the complexity of the original SIoT scenario, while keeping all the key information on the same platform. Together with the proposed security ontology, these comprehensive security notations created a unique platform that aims at addressing the ever complicated security issues in the SIoT environment.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Business process; game technology; notation; security modelling; social IoT |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 Sep 2019 10:14 |
Last Modified: | 19 Nov 2019 01:39 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Refereed: | Yes |
Identification Number: | 10.1109/tcss.2018.2878921 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:150771 |