Minimizing Cipher Text in Homomorphic Encryption Scheme for Cloud Data
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Cloud data security is major concern in cloud computing. Cloud data security must satisfy the three goals of security in computing - integrity, confidentiality and availability issues. Homomorphic encryption is a technique in which user or cloud service provider (CSP) can perform operations on cloud data without performing decryption. Many algorithms are available for homomorphic encryption. But these algorithms generate large size cipher text. This paper focuses on homomorphic encryption with small size cipher text. The cipher text created here is compared with Paillier encryption scheme and with our earlier approaches. In experimentation of this algorithm data is stored in DynamoDB of Amazon Web service (AWS) public cloud. When user requires data it can be downloaded on users machine and then decrypted. It is observed that it saves 20-40% memory space using this approach.
Abstract
Cloud data security is major concern in cloud computing. Cloud data security must satisfy the three goals of security in computing - integrity, confidentiality and availability issues. Homomorphic encryption is a technique in which user or cloud service provider (CSP) can perform operations on cloud data without performing decryption. Many algorithms are available for homomorphic encryption. But these algorithms generate large size cipher text. This paper focuses on homomorphic encryption with small size cipher text. The cipher text created here is compared with Paillier encryption scheme and with our earlier approaches. In experimentation of this algorithm data is stored in DynamoDB of Amazon Web service (AWS) public cloud. When user requires data it can be downloaded on users machine and then decrypted. It is observed that it saves 20-40% memory space using this approach.
참고문헌 (16)
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