This paper proposes a traffic anomaly detector, operated in postmortem and in real-time, by
passively monitoring packet headers of traffic. The frequent attacks on network infrastructure …

网络流量是衡量网络运行负荷和状态的重要参数, 也是网络规划, 流量管理等方面起着重要作用
的重要参数. 在流量管理中, 流量模型用于评价接入控制机制和预测网络性能 …

Forecasting of network traffic plays a very important role in many domains such as
congestion control, adaptive applications, network management and traffic engineering. A …

This work explores the use of statistical techniques, namely stratified sampling and cluster
analysis, as powerful tools for deriving traffic properties at the flow level. Our results show …

Roaming across heterogeneous wireless networks poses a challenging issue in mobility
management such as seamless and efficient handover to reduce end-user's service …

Distributed network traffic anomaly refers to a traffic abnormal behavior involving many links
of a network and caused by the same source (eg, DDoS attack, worm propagation). The …

Distributed detection mechanism of DDoS (Distributed Denial of Service) attack is often
achieved by the corporation between many detection nodes, its final detection result largely …

针对现有单链路流量异常检测和全局流量异常检测方法存在的不足, 该文提出一种全局的多流量
相关异常检测算法. 该算法利用同一异常在不同链路或OD 流所产生的多个异常流量信号在频率 …

In this paper, we address the issue of forecasting for periodically measured nonstationary
traffic based on statistical time series modeling. Often with time-series-based applications …

The dynamics of User Datagram Protocol (UDP) traffic over Ethernet between two computers
are analyzed using nonlinear dynamics which shows that there are two clear regimes in the …