LDoS攻击是一种新型DoS攻击，其产生的攻击效果近似于DoS攻击但攻击隐蔽性更强。深入开展LDoS攻击检测方法的研究对防范恶意网络攻击、保障网络安全具有重要的理论价值和现实意义。.本课题拟基于LDoS攻击的基本原理，分析、归纳并提取LDoS攻击发生时相关数据流量的特征，提出几种基于流量异常的LDoS攻击检测方法，并建立了相关判断准则。针对仅使用单一检测方法检测单一异常特征有可能导致检测精度不够的问题，构建一个融合多种检测方法的LDoS攻击检测系统原型，给出该检测系统的检测规则、处理流程及相关算法，在公用数据集和实际网络中检验提出的检测系统。.最后在超级计算机平台验证并部署该检测系统，分析算法性能及检测效果，优化部署策略，实现超算平台中针对LDoS攻击的高效检测。本课题通过对LDoS攻击及其检测方法的研究，取得若干理论成果，对检测网络攻击、保障网络安全、预防网络犯罪具有积极意义。

The LDoS attack is a new type of DoS attack, which produces the similar harmful effect as the DoS attack while more concealed. A deep research on LDoS attack detection methods is of great significance in theory and practice particularly for the prevention of malicious attacks and maintenance of network security. .In this project, according to the basic principles of LDoS attack, the kinds of characteristics caused by LDoS attack are analyzed, summarized and extracted. Then, the new kinds LDoS attack detection methods based on abnormal characteristics are proposed, and the corresponding Judgment Criterion are built. Meanwhile, for low detection accuracy for the single abnormal characteristic when only one detection method is used, a detection system prototype integrating the kinds of detection methods is built. At same time, the detection rule, the detection process and the detection algorithm for this detection system are developed. Then this detection system will detect LDoS attack using the general data sets and the actual network data. .Lastly, the detection system will verified and deployed on supercomputer platform. By analyzing algorithm performance and detection efficiency to optimize deployment strategy, this detection system will detect LDoS attack efficiently based on supercomputer platform. Many theoretical results will be obtained in the study of LDoS attack and the development of detection methods in this project. The results are meaningful for detecting network attacks, ensuring network security and preventing cyber crime.