Information Security and Privacy (SIG SEC)
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Paper Type
ERF
Paper Number
1697
Description
Access control is one of the frontline security measures that any information system should adopt. The dynamic nature of the Internet of Things and autonomous vehicles requires access control policies should be able to adapt to their environments. However, it is very challenging to specify access control policies manually because of their dynamic nature. In this paper, we propose a Long-Short-Term-Memory based automated policy generation for dynamic access control in the Internet of Things. We will evaluate the performance of the proposed solution using two datasets. We expect the proposed solution will be able to generate synthetic access control policies by training from the datasets which can potentially be used for dynamic access provisioning in IoT systems.
Recommended Citation
Muthusamy Ragothaman, Kaushik Nagarajan; Wang, Yong; and Vuggumudi, Srinivasulu, "Towards Automated Policy Generation for Dynamic Access Control in the Internet of Things" (2021). AMCIS 2021 Proceedings. 25.
https://aisel.aisnet.org/amcis2021/info_security/info_security/25
Towards Automated Policy Generation for Dynamic Access Control in the Internet of Things
Access control is one of the frontline security measures that any information system should adopt. The dynamic nature of the Internet of Things and autonomous vehicles requires access control policies should be able to adapt to their environments. However, it is very challenging to specify access control policies manually because of their dynamic nature. In this paper, we propose a Long-Short-Term-Memory based automated policy generation for dynamic access control in the Internet of Things. We will evaluate the performance of the proposed solution using two datasets. We expect the proposed solution will be able to generate synthetic access control policies by training from the datasets which can potentially be used for dynamic access provisioning in IoT systems.
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