确保云数据的隐私和机密性:基于运行时间趋势的各种加密解决方案的比较分析
John Kwao Dawson1,2, Twum Frimpong2, James Benjamin Hayfron Acquah2
1Sunyani Technical University, Sunyani, Ghana.
PloS one
|September 7, 2023
概括
这项研究比较了用于云数据安全的加密算法. 与其他方法相比,网络编码方案 (NCS) 在运行时间方面表现优越,提高了数据保护.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 数据加密数据加密
背景情况:
- 越来越多地使用云计算来处理敏感数据,需要采取强有力的安全措施.
- 密码技术对于确保云环境中的数据机密性和隐私至关重要.
- 不同的加密算法表现出不同的性能特征 (CPU,内存,吞吐量,加密/解密时间).
研究的目的:
- 为了比较各种加密算法对云数据安全性的性能.
- 根据关键性能指标确定最佳的加密算法.
- 在不同的数据负载下评估不同加密方法的效率.
主要方法:
- 使用从1KB到40KB的集成数据大小进行密码算法的性能评估.
- 测量关键性能指标:运行时间,内存使用量和吞吐量.
- 使用弗里德曼测试和邦费罗尼后期测试来确定显著差异的统计分析.
主要成果:
- 与其他评估的算法相比,网络编码方案 (NCS) 的运行时间趋势优越.
- 性能指标在不同的加密技术和数据大小之间有很大的差异.
- 报告了每个数据大小的平均模拟结果,平均为15次运行.
结论:
- 在运行时间方面,NCS是云数据安全性最有效的算法.
- 选择加密算法显著影响云数据处理效率.
- 进一步的研究应该考虑更广泛的数据大小和安全协议.
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