拒绝服务攻击：网络流量异常的网络安全理论分析
Denial of Service Attack: Analysis of Network Traffic Anormaly using Queuing Theory
摘要：
在过去几年中，拒绝服务（DOS）攻击越来越受到人们的关注。随着互联网变得越来越普遍，拒绝服务攻击的威胁对个人、企业、政府组织甚至国家来说变得更加现实和重要。迫切需要尽快检测到正在进行的攻击。在目前的工作中，诊断的DOS攻击使用排队论的概念和系统的性能参数的效率进行了研究，因为服务器肯定有一些机制来存储和处理的请求。利用排队论的这一概念，生成数据模式的集合。结合系统的性能参数，对数据模式进行分析，诊断网络异常。性能分析和实验结果表明，该方案在检测异常的准确性。
英文摘要：
Denial-of-service (DOS) attacks increasingly gained reputation over the past few years. As the Internet becomes more ubiquitous, the threat of the denial-of-service attacks becomes more realistic and important for individuals, businesses, governmental organizations, and even countries. There is intensive need to detect an attack in progress as soon as possible. The efficiency of diagnosing the DOS attack using concepts of queuing theory and performance parameter of the system has been investigated in the present work, as the servers definitely have some mechanisms to store and process the requests. Utilizing this concept of queuing theory, the collection of data patterns were generated. With the performance parameter of the system, the analysis of the data pattern had been made to diagnose the network anomaly. Performance analysis and results show the accuracy of the proposed scheme in detecting anomalies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
