一种高效的云计算DDos攻击检测方法

Asma Harbi Alashjaee, Dr Randa Ahmed Jabeur
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摘要

Asma Harbi Alashjaee等人,国际计算机科学与工程高级趋势杂志,11(6),2022年11月- 12月,218 - 226 218摘要电子网络和云服务器面临许多安全问题,因为它们容易受到DDOS攻击。由于云服务器暴露于与服务器上的合法请求类似的攻击,因此它们是健康的,但它们对服务器上的数据进行了攻击。DDOS攻击不仅影响网络,还会影响服务器承载的数据。本文提出了一种新的DDOS攻击发现方案。采用主成分分析(PCA)方案对流量分组数据进行网络状态分析,对网络进行划分和分段,减少总体计算量。将结果与样本熵进行比较,我们能够更准确地检测到DDOS攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Efficient Method to Detect DDos Attack in Cloud Computing
Asma Harbi Alashjaee et al., International Journal of Advanced Trends in Computer Science and Engineering, 11(6), November - December 2022, 218 - 226 218 ABSTRACT Electronic networks and cloud servers face many security problems since they are vulnerable to DDOS attacks. As cloud servers are exposed to attacks similar to legitimate requests on servers, it turns out that they are healthy, but they carry an attack on the data on the servers. DDOS attacks not only affect networks, but also the data carried by servers. In this paper, we proposed a new scheme to discover DDOS attacks. By using a Principal Component Analysis (PCA) scheme for network state analysis on traffic packet data, we divide and segment the network for reducing the overall computation. Comparing the results to the sample entropy, we were able to detect DDOS attacks more accurately.
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