Abstract
With the development of education, educational big data is taking shape, and the cloud has a natural advantage of storing big data. Data is usually stored in the cloud server in the form of ciphertext for the sake of privacy protection. However, this is against the use of data. Currently, although the search schemes under ciphertext are primarily based on keywords, these schemes fail to reflect the actual needs of users well. Moreover, the quality of educational resources varies. Therefore, ensuring users’ privacy protection while providing high-quality educational resources is challenging. In order to solve this problem, a Smart Search over Encrypted Educational Resources (SSEER) in cloud storage was proposed in this paper. The contribution of this paper is mainly reflected in two aspects: First, SSEER introduces a trusted third party (TTP) server to obtain a large number of educational resources through crowdsourcing. Second, the index is updated based on the user’s use of educational resources, through which high-quality educational resources can be identified, thus increasing the probability for users to access quality resources. As a result, the educational resource graph can screen out the educational resources related to the user search.
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Acknowledgments
This work is supported in part by the National Natural Science Foundation of China under Grants 61632009 & 61472451, in part by the Guangdong Provincial Natural Science Foundation under Grant 2017A030308006, in part by Scientific Research Fund of Hunan Provincial Education Department under Grants 19B208 & 20C0809 & 21A0599, in part by Project of Hunan Social Science Achievement Appraisal Committee in 2020 under Grant XSP20YBZ043, and High-Level Talents Program of Higher Education in Guangdong Province under Grant 2016ZJ01.
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Zhang, Q., Duan, G., Liu, S. (2022). Smart Search over Encrypted Educational Resources in Cloud Storage. In: Wang, G., Choo, KK.R., Ko, R.K.L., Xu, Y., Crispo, B. (eds) Ubiquitous Security. UbiSec 2021. Communications in Computer and Information Science, vol 1557. Springer, Singapore. https://doi.org/10.1007/978-981-19-0468-4_7
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