高效的基于时间延迟的云存储安全数据加密

Shahnawaz Ahmad, Shabana Mehfuz
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引用次数: 0

摘要

为了确保云中的数据安全,各种研究人员提出了几种技术。最常见的方法是使用数据加密技术,如配置文件、规则和基于属性的加密技术。然而,由于对篡改的抵抗力不足,它们难以实现更高的数据安全性能。此外,现有技术还不足以实现更高的服务质量性能。为了解决这个问题,本文提出了一种高效的基于时间延迟近似的数据加密技术(TLADE)。该方法侧重于根据延迟近似在不同时间戳下选择最佳加密技术。因此,该方法将基于QoS值来选择用于数据加密的最佳技术。为了实现这一点,已经实现了不同的加密方案,并且基于延迟来测量它们中的每一个的QoS支持值(QoSV)。基于QoSV的值,已经选择了当前占空比的有效方法,并将其应用于云服务数据。所提出的方法提高了不同QoS因素的性能,还降低了延迟因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient time-oriented latency-based secure data encryption for cloud storage

To ensure data security in the cloud, there exist several techniques proposed by various researchers. The most common method is the usage of data encryption techniques like profile, rule, and attribute-based encryption techniques. However, they struggle in achieving higher data security performance due to insufficient resistance to tampering. Also, the existing techniques are not good enough for achieving a higher quality of service performance. To handle this issue, an efficient time-oriented latency approximation-based data encryption technique (TLADE) has been presented in this article. The method focuses on the selection of optimal encryption techniques at different time stamps according to the latency approximation. Accordingly, the method would select an optimal technique for data encryption based on the QoS values. To perform this, different encryption schemes have been implemented and each of them is measured for their QoS support values (QoSV) based on latency. Based on the values of QoSV, an efficient approach for the current duty cycle has been selected and applied to the cloud service data. The proposed approach improves the performance of different QoS factors and also has reduced the latency factor.

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