Abstract
Wireless sensor networks consist of a large number of distributed sensor nodes so that potential risks are becoming more and more unpredictable. In order to prevent a new object from joining, many previous research works applied the initial authentication process in the wireless sensor network and the wireless Internet of Things (IoT) network generally. However, the majority of the former articles only focused on a central authority (CA) or a key distribution center (KDC) which increased the computation cost and energy consumption for the specific cases in IoT. Hence, in this article, we address these issues through an advanced authentication mechanism, including key-based management and rating-based authentication. The scheme reduces costs between an object and its peers effectively. We refer to the mobility dataset from CRAWDAD collected at the University Politehnica of Bucharest and rebuild it into a new larger random dataset. Our protocol uses the new dataset as an algorithm’s input. It enables the protocol to handle authentication rigorously for unknown devices into the secure zone. The proposed scheme helps to increase flexibility in difficult contexts, resource-constrained conditions.
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Acknowledgments
This research is funded by Vietnam National University HoChiMinh city (VNU-HCM) under grant number B2018-20-08. We also thank D-STAR LAB members for their meaningful help during this manuscript preparation.
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Tran, K.K., Pham, M.K., Dang, T.K. (2018). A Light-Weight Tightening Authentication Scheme for the Objects’ Encounters in the Meetings. In: Dang, T., Küng, J., Wagner, R., Thoai, N., Takizawa, M. (eds) Future Data and Security Engineering. FDSE 2018. Lecture Notes in Computer Science(), vol 11251. Springer, Cham. https://doi.org/10.1007/978-3-030-03192-3_8
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