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Cloud Computing: A CRM Service Based on a Separate Encryption and Decryption using Blowfish algorithm

机译:云计算:基于使用Blowfish算法的单独加密和解密的CRM服务

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Cloud computing is a distributive computation task on the resource pool which consists of massive computers. LMS experiences with Cloud and Managed Cloud Service provider are due to numerous factors. Availability means that the services are available even when quite a number of nodes fail.Cloud services are provided by many IT companies like Google, Amazon, Microsoft, and Salesforce.com. An enterprise usually store data in local storage and then tries to protect the information from other external source. They also provide authentication at certain fixed level. To overcome this limitation, we are presenting some approaches that do not require full dependency on the external security provider. Storing the data in encrypted form is a common method of data privacy security. If a cloud system is responsible for both tasks on storage and encryption/decryption of data, the system administrators may simultaneously hold encrypted data and decryption keys. This allows them to access information without authorization and thus poses a threat to information privacy[1]. A LMS (Learning Management System) service is described in this project using Blowfish algorithm. It promotes more accessibility to LMS service providers to send their training modules and syllabus via Internet at any point of the hour much more efficiently. This gives rise to reduced cost of hardware and software tools, which in return would scaleup the elearning environment. In the existing system RSA algorithm used. It requires more computation time for large volumes of data. To reduce this computation time we are using Blowfish algorithm. The LMS Service utilizes three cloud systems, including an encryption and decryption system, a storage system, and LMS application system.
机译:云计算是由大型计算机组成的资源池上的分布式计算任务。与云和托管云服务提供商的LMS体验是由于众多因素造成的。可用性意味着即使许多节点出现故障,这些服务仍然可用。云服务由许多IT公司提供,例如Google,Amazon,Microsoft和Salesforce.com。企业通常将数据存储在本地存储中,然后尝试保护信息免受其他外部源的攻击。它们还提供某些固定级别的身份验证。为了克服此限制,我们提出了一些不需要完全依赖外部安全提供程序的方法。以加密形式存储数据是数据隐私安全性的一种常用方法。如果云系统既负责存储又负责数据的加密/解密,则系统管理员可以同时持有加密的数据和解密密钥。这允许他们未经授权访问信息,从而对信息隐私构成威胁[1]。在本项目中,使用Blowfish算法描述了LMS(学习管理系统)服务。它提高了LMS服务提供商的可访问性,从而可以更有效地在小时的任何时间通过Internet发送他们的培训模块和课程表。这降低了硬件和软件工具的成本,而这反过来将扩大电子学习环境。在现有系统中使用RSA算法。处理大量数据需要更多的计算时间。为了减少此计算时间,我们使用了Blowfish算法。 LMS服务利用三个云系统,包括加密和解密系统,存储系统和LMS应用程序系统。

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