Abstract
Based on the characteristics and data security requirements of the cloud environment, we present a scheme for a multi-security-level cloud storage system that is combined with AES symmetric encryption and an improved identity-based proxy re-encryption (PRE) algorithm. Our optimization includes support for fine-grained control and performance optimization. Through a combination of attribute-based encryption methods, we add a fine-grained control factor to our algorithm in which each authorization operation is only valid for a single factor. By reducing the number of bilinear mappings, which are the most time-consuming processes, we achieve our aim of optimizing performance. Last but not least, we implement secure data sharing among heterogeneous cloud systems. As shown in experiment, our proposed multi-security-level cloud storage system implements services such as the direct storage of data, transparent AES encryption, PRE protection that supports fine-grained and ciphertext heterogeneous transformation, and other functions such as authentication and data management. In terms of performance, we achieve time-cost reductions of 29.8% for the entire process, 48.3% for delegation and 47.2% for decryption.
Highlights
1.1 Motivation Cloud computing has provided very important support for information use by government agencies and enterprises
Security issues have restricted the development of public cloud services[1], and in particular, the problem of how to protect the privacy of users has become a significant factor in their reluctance to adopt cloud computing[2, 3]
In our scheme, each user has a pair of identitybased encryption (IBE)-type private and public keys, and some users may have another pair of public key encryption (PKE)-type private and public keys
Summary
1.1 Motivation Cloud computing has provided very important support for information use by government agencies and enterprises. Security issues have restricted the development of public cloud services[1], and in particular, the problem of how to protect the privacy of users has become a significant factor in their reluctance to adopt cloud computing[2, 3]. Most existing solutions only focus on a single type of threat, and this has given rise to certain problems. The protection of data privacy for users of cloud storage has become one of the most critical issues in public cloud applications and has impeded the rapid development of cloud services. There are still many weaknesses in the current methods for the protection of private user data in cloud environments [4, 5].
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