Abstract
Data security is very important in Internet of Things (IoT) based system. One of the main issues of security is proper and secure identification and authentication of users in an IoT environment. In this paper, we propose a cluster-based identification and authentication model for IoT platform. The contribution of this research work includes a dynamically configurable system framework that is capable of ensuring identification and authentication to every connected device in IoT platform regardless of their type, location and different parameters. The proposed mechanism ensures a central defense for every IoT service deployed locally or in the cloud by identifying and authenticating smart objects using cluster based identification and authentication process. This cluster based process makes our proposed system a more robust and scalable system architecture that supports both limited-resource and ensemble devices. Eventually, it ensures a continuous secure communication among all identified and authorized cluster members and also continuously prohibits all unauthorized members from causing any interruption. Finally, we have presented a comparative analysis of the performance and effectiveness of the proposed system which reflects different significant capabilities of the work.
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Khan, R., Islam, M. (2020). Cluster Based User Identification and Authentication for the Internet of Things Platform. In: Bohlouli, M., Sadeghi Bigham, B., Narimani, Z., Vasighi, M., Ansari, E. (eds) Data Science: From Research to Application. CiDaS 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-030-37309-2_14
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DOI: https://doi.org/10.1007/978-3-030-37309-2_14
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