Abstract
During the life cycle of the cloud data, the technique of data deterministic deletion is designed to completely destroy the data and ensures that cloud data that is out of date or backed up in the cloud server is completely deleted or will never be decrypted or accessed. However, the existing scheme simply deletes the key or the cipher text. Once the key or the cloud backup of the cipher text is stolen, data privacy will be threatened. For this reason, this paper proposes a data deletion scheme that is dynamic deletion is based on fragmented cipher text and key. The core of this scheme is to use the dynamic characteristics of DHT network to realize the periodic deletion of fragmented cipher text. Using the idea of fragmented cipher text dynamic deletion, in the unauthorized time even if in the case that the key is leaked, illegal user can not get all the cipher text and key, and can not restore the complete data. The theoretical analysis and experimental results show that the scheme can effectively delete some fragmented cipher texts and key, and has low performance cost, which can meet the requirements for deterministic deletion of excessive data or backup files in cloud storage system.
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Acknowledgments
This research was supported by the Postgraduate Education Innovation Projects of Shandong Province of China under Grant No.SDYC15042. In addition, the authors would like to thank the reviewers for their valuable comments and suggestions.
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Zhang, Y., Li, N., Cui, R., Fan, Y. (2018). Data Deterministic Deletion Scheme Based on DHT Network and Fragmentation Deletion. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 848. Springer, Singapore. https://doi.org/10.1007/978-981-13-0893-2_45
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DOI: https://doi.org/10.1007/978-981-13-0893-2_45
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