Abstract
Cloud computing currently plays an increasingly important role in the information technology industry given its enhanced performance, wide accessibility, low cost, and many other benefits. Cloud computing provides a large storage space for data and ensures rapid processing of data to different users over the Internet. Cloud data security is a major ongoing challenge, which acts as a limiting factor for the extensive deployment of cloud computing. Thus, the problem selected for this work is enhancing data storage security in cloud computing with multiple methods to provide enhanced trusted, secure, and reliable cloud data storage services. In this paper, the framework for data security is mainly to protect data by combining double authentication for appropriate data classification and encryption and digital signature verification to analyze the integrity of the data during the transmission and retrieving processes. This analysis is performed through a certain message authentication code to ensure that the data are delivered without any alterations during transmission. An important contribution of this proposal is the different techniques and specialized procedures that can efficiently protect the data throughout the process, that is, from the owner to the cloud and then to the delivery to the end user. High-level security is achieved by double authentication as one by the user/owner and the other by the cloud. High-level security can enhance the performance of storing data in the cloud, particularly for certain important issues, such as data leakage, tampering of data, and preventing unauthorized access even from the cloud service provider.
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Jawad, M.S. (2019). Cloud Data Security Solution Based on Data Access Classification, Advanced Encryption Standard and Message Authentication Code. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 881. Springer, Cham. https://doi.org/10.1007/978-3-030-02683-7_12
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DOI: https://doi.org/10.1007/978-3-030-02683-7_12
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