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A secure transaction of cloud data using conditional source trust attributes encryption mechanism

机译:使用条件源信任属性加密机制的云数据的安全事务

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摘要

Cloud storage enables users to store their data and enjoy high-quality cloud applications based on transaction processing. Normally, the wholesaler has real servers which host products and services from different locations, provide the end-users to simply log on to the network and perform transaction processing. However, the dynamic data update after transaction processing in cloud does not provide an optimal security framework. Besides, the cloud data storage is not focusing on maximizing the security on performing the transactions over cloud servers. In order to overcome such limitations in cloud, a novel framework named conditional source trust attribute encryption with particle swarm-based transaction optimization (CSTAE-PSTO) is proposed. The conditional attributes are encrypted using the conditional source trust attribute encryption technique along with the bilinear mapping transformation function in CSTAE-PSTO framework to improve the security level through unique secured identity number. The PSTO technique on cloud applications optimizes the result with minimal transaction completion time. Experiment is conducted based on factors such as throughput level on transaction, security rate on data layer and transaction completion time. Experimental analysis shows that the CSTAE-PSTO framework is able to improve the security rate on data layer and reduce the transaction completion time when compared to the state-of-the-art works.
机译:云存储使用户能够将其数据存储并根据事务处理享受高质量的云应用程序。通常,批发商拥有从不同位置主持产品和服务的真实服务器,为最终用户提供简单地登录网络并执行事务处理。但是,云中交易处理后的动态数据更新不提供最佳安全框架。此外,云数据存储不会专注于最大化对云服务器执行交易的安全性。为了克服云中的这种限制,提出了一种名为Circuental Source Trust属性加密的新颖框架,其具有基于粒子群的交易优化(CSTAe-PSTO)。使用条件源信任属性加密技术加密条件属性以及CSTA-PSTO框架中的Bilinear映射转换功能,以通过唯一的安全标识号来提高安全级别。云应用程序上的PSTO技术优化了最小的事务完成时间。基于事务吞吐量等因素进行实验,数据层和事务完成时间的吞吐量。实验分析表明,与最先进的工作相比,CSTAP-PSTO框架能够提高数据层上的安全速率,并减少交易完成时间。

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