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An efficient data retrieval approach using blowfish encryption on cloud ciphertext retrieval in cloud computing

机译:在云计算中使用河豚加密对云密文进行检索的高效数据检索方法

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A key issue for cloud storage is privacy security. The purpose of privacy, the data owner can outsource his sensitive data on the cloud and give the access control to the authorized user. When the data owner stores his data on the cloud, the data is encrypted for the security guarantee. In this paper, an efficient ciphertext retrieval techniques on a large volume of data are proposed. Initially, an index is generated by Porter stemming. Then the Blowfish algorithm is applied for encryption of files to be outsourced. For authorized access, public key encryption based elliptic curve cryptography (ECC) is used for key generation. When keyword queries are transferred to the cloud, it searches the relevant content associated with the index and retrieves the matching files. Then the Blowfish decryption algorithm is used to get the plain text. It provides security for outsourced data, and the performance of the proposed work showed better efficiency regarding of low computation and communication costs.
机译:云存储的关键问题是隐私安全性。出于隐私目的,数据所有者可以将其敏感数据外包到云上,并将访问控制权授予授权用户。当数据所有者将其数据存储在云中时,将对数据进行加密以确保安全性。本文提出了一种有效的对大量数据进行密文检索的技术。最初,通过Porter词干生成索引。然后将Blowfish算法应用于要外包的文件的加密。对于授权访问,基于公钥加密的椭圆曲线密码术(ECC)用于生成密钥。将关键字查询传输到云后,它将搜索与索引关联的相关内容并检索匹配的文件。然后使用Blowfish解密算法来获取纯文本。它为外包数据提供了安全性,并且由于计算和通信成本较低,因此建议的工作性能显示出更高的效率。

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