利用模糊关键词增强数据检索,利用Feistal加密算法增强数据安全性

J. Dhamija, Kaumudi Rawat, T. Choudhury, Praveen Kumar
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引用次数: 1

摘要

提出的算法是为了保证云上客户端信息的安全与保障。因此,使用删除修正码将不再需要传统的基于复制的分散系统。随着客户机数据的大小或重要性的增加,数据重复是一种用于处理服务器崩溃等情况的方法。客户端拥有信息,并且高度依赖云来获取信息。目前的系统成本很高,效率也不高。模糊关键字有助于搜索和提供更可能的结果,从而提高搜索效率和能力,降低数据丢失。此外,为了提高云上数据的安全性,采用了微小算法和河豚算法对云上共享的数据文件进行加密。为此,将生成并输入OTP以访问和解密接收端上的数据。如今的信息存储应该变得更加可预测和基本,因为在分布式存储系统的情况下,只有在需要时才允许客户端访问数据。因此,在我们的应用程序中,云开始发挥作用,我们使用云作为存储阶段,现在是云。
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Enhancing Data Retrieval Using Fuzzy Keywords and Data Security Using Feistal Encryption Algorithm
The algorithm proposed is to ensure safety and guarantee of clients information on the cloud. The conventional system of replication based dispersion hence will not be required anymore by using deletion revising code. As the client data increases in size or importance, data repetition is a method to be used to tackle situations like server crashes and more. Client has information and is highly depended on cloud for its retrieval. The current system is of a very high cost and not so efficient. Fuzzy keywords help in searching and providing more probable outcome as a result enhancing the searching efficiency and capability and lower data loss. Also to enhance the security of the data over the cloud, tiny and blowfish algorithms are used to encyrypt data file which are shared over the cloud. For this, an OTP will be generated and entered to access and decrypt the data on receiver end. Information stockpiling nowadays should become more predictable and basic because data is made accessible to client only when required in cases of distributed storage systems. Hence cloud comes into play as in our application we use cloud as the put away stage is now the cloud.
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