#4363. Secure user authentication mechanism for IoT-enabled Wireless Sensor Networks based on multiple Bloom filters

September 2026publication date
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Journal’s subject area:
Engineering
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Abstract:
In this article, we propose an efficient Bloom filter and fuzzy extractor based user authentication technique, which is significant for an Internet of Things (IoT)-enabled multi-hop Wireless Sensor Networks (IoT-WSNs). The proposed authentication technique has the ability to significantly reduce the Bloom filter based false positive for user authentication in IoT-WSNs, while also preserving the constraint resources of WSNs. We perform the formal security analysis using the random oracle and Real-Or-Random (ROR) models, informal security analysis and also the formal security verification using a widely-recognized automated software validation tool. Next, communication and computational overheads analysis reveal that the proposed protocol is appropriate for resource-constrained sensor nodes. Furthermore, a correlative security feature and complexity analysis outcomes validate that the proposed protocol is reliable, secure, and efficient in comparison with other existing state of art related user authentication protocols.
Keywords:
Bloom filter; Fuzzy extractor; Internet of Things (IoT); Security; User authentication; Wireless Sensor Networks (WSNs)

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