Abstract
Big data cloud platforms provide users with on-demand configurable computing, storage resources to users, thus involving a large amount of user data. However, most of the data is processed and stored in plaintext, resulting in data leakage. At the same time, simple encrypted storage ensures the confidentiality of the cloud data, but has the following problems: if the encrypted data is downloaded to the client and then decrypted, the search efficiency will be low. If the encrypted data is decrypted and searched on the server side, the security will be reduced. Data availability is finally reduced, and indiscriminate protection measures make the risk of data leakage uncontrollable. To solve the problems, based on searchable encryption and key derivation, a cipher search system is designed in this paper considering both data security and availability, and the use of a search encryption algorithm that supports dynamic update is listed. Moreover, the system structure has the advantage of adapting different searchable encryption algorithm. In particular, a user-centered key derivation mechanism is designed to realize file-level fine-grained encryption. Finally, extensive experiment and analysis show that the scheme greatly improves the data security of big data platform.
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Acknowledgements
This work is supported by the Sichuan Science and Technology Program (2021JDRC0077), the Sichuan Province’s Key Research and Development Plan.
“Distributed Secure Storage Technology for Massive Sensitive Data” Project (2020YFG0298), and Applied Basic Research Project of Sichuan Province (No. 2018JY0370).
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Chen, Y., Hao, Y., Yi, Z., Wu, K., Zhao, Q., Wang, X. (2021). Searchable Encryption System for Big Data Storage. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1452. Springer, Singapore. https://doi.org/10.1007/978-981-16-5943-0_12
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DOI: https://doi.org/10.1007/978-981-16-5943-0_12
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