• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis
【24h】

A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis

机译：基于多元相关分析的拒绝服务攻击检测系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Interconnected systems, such as Web servers, database servers, cloud computing servers and so on, are now under threads from network attackers. As one of most common and aggressive means, denial-of-service (DoS) attacks cause serious impact on these computing systems. In this paper, we present a DoS attack detection system that uses multivariate correlation analysis (MCA) for accurate network traffic characterization by extracting the geometrical correlations between network traffic features. Our MCA-based DoS attack detection system employs the principle of anomaly based detection in attack recognition. This makes our solution capable of detecting known and unknown DoS attacks effectively by learning the patterns of legitimate network traffic only. Furthermore, a triangle-area-based technique is proposed to enhance and to speed up the process of MCA. The effectiveness of our proposed detection system is evaluated using KDD Cup 99 data set, and the influences of both non-normalized data and normalized data on the performance of the proposed detection system are examined. The results show that our system outperforms two other previously developed state-of-the-art approaches in terms of detection accuracy.
机译：互连系统，例如Web服务器，数据库服务器，云计算服务器等，现在受到来自网络攻击者的威胁。作为最常见和攻击性手段之一，拒绝服务（DoS）攻击会对这些计算系统造成严重影响。在本文中，我们提出了一种DoS攻击检测系统，该系统使用多元相关分析（MCA）通过提取网络流量特征之间的几何相关性来进行准确的网络流量表征。我们基于MCA的DoS攻击检测系统在攻击识别中采用了基于异常的检测原理。这使我们的解决方案能够通过仅学习合法网络流量的模式来有效检测已知和未知的DoS攻击。此外，提出了一种基于三角形区域的技术来增强和加速MCA的过程。我们使用KDD Cup 99数据集评估了我们提出的检测系统的有效性，并研究了非标准化数据和归一化数据对提出的检测系统性能的影响。结果表明，在检测精度方面，我们的系统优于其他两个先前开发的最新方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号