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首页> 外文会议>International Conference on Artificial Intelligence and Smart Systems >Securely Distributing Files in Cloud Environment by Dispensing Asymmetric Key Management System applying Hashing
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Securely Distributing Files in Cloud Environment by Dispensing Asymmetric Key Management System applying Hashing

机译：通过分配应用散列的非对称密钥管理系统安全地在云环境中分发文件

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摘要

An emerging widely used technology cloud computing which a paddle of computing resources is available for the users. Through the internet-based the resources could be supplied to cloud consumers at their request but it is not directly active management by the user. This application-based software infrastructure can store data on remote serves, which can be accessed through the internet and a user who wants to access data stored in the cloud have to use an internet browser or cloud computing software. Data protection has become one of the significant issues in cloud computing when users must rely on their cloud providers for security purposes. In this article, a system that can embarrass the disclosure of the key for distributing a file that will assure security dispensing asymmetric key and sharing it among the cloud environment and user perform the integrity check themselves rather than using third-party services by using compression or hash function where the hash is created using a hash function and it was not mentioned in the previous paper. After the user receives the data every hash is compared with other hash values to check the differences of the data. The time-consumption of encryption and decryption of the data is calculated and compared with the previous paper and the experiment shows that our calculation took around 80% less time.
机译：一种新兴广泛使用的技术云计算计算资源桨的桨可供用户使用。通过基于互联网的资源可以在其请求中提供给云消费者，但它不是用户直接主动管理。基于应用的软件基础架构可以存储在远程服务上的数据，该数据可以通过因特网和想要访问存储在云中的数据的用户来使用Internet浏览器或云计算软件。数据保护已成为云计算中的重要问题之一，当用户必须依赖于其云提供商以供安全目的。在本文中，可以使能够举办用于分发文件的密钥的系统，以确保安全分配不对称密钥并在云环境中共享它的文件，并且用户使用压缩或使用压缩来使用第三方服务使用哈希函数创建哈希函数的哈希函数，并在上一个纸张中未提及。在用户接收到数据之后，将每个散列与其他哈希值进行比较以检查数据的差异。计算数据的加密和解密的时间消耗，并与前一篇论文进行了比较，实验表明我们的计算减少了80％的时间。

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