Abstract
In this paper, so as to improve the privacy protection and retrieval efficiency of Internet of things data, an efficient retrieval scheme for ciphertext of the Internet of things based on the fog computing system is proposed. First of all, a fog computing system between the cloud server and the user is added. The fog computing system is used to manage IoT devices and their data and is responsible for processing user search requests, and it achieves the purpose of reducing the time delay between cloud services and users; secondly, a multi-keyword-based ciphertext retrieval scheme is adopted, on the one hand, using multiple keywords to enhance the accuracy of retrieval, and on the other hand, using ciphertext. Retrieval can realize the protection of data privacy; finally, the range tree is used to build an index, and the range retrieval method is used to improve the user retrieval efficiency while realizing the user's personalized retrieval; theoretical analysis and simulation show that on the premise of ensuring user privacy, the proposed scheme greatly lifts the efficiency and accuracy of scheme search and realizes the personalized retrieval of users.
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Wang, B., Li, J. (2023). Efficient Ciphertext Retrieval in Internet of Things Based on Fog Consumption Computing System. In: Kountchev, R., Nakamatsu, K., Wang, W., Kountcheva, R. (eds) Proceedings of the World Conference on Intelligent and 3-D Technologies (WCI3DT 2022). Smart Innovation, Systems and Technologies, vol 323. Springer, Singapore. https://doi.org/10.1007/978-981-19-7184-6_14
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DOI: https://doi.org/10.1007/978-981-19-7184-6_14
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