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A Novel Network Traffic Anomaly Detection Model Based on Superstatistics Theory

机译：基于超统计理论的新型网络流量异常检测模型

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Wei Xiong; Hanping Hu; Yue Yang; Fan Ding;
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年度 2011
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1. Anomaly‐based DoS detection and prevention in SIP networks by modeling SIP normal traffic [J] . Hosseinpour Mahsa, Yaghmaee Mohammad Hossein, Seno Seyed Amin Hosseini, International journal of communication systems . 2018,第18期

机译：通过对SIP正常流量建模来实现SIP网络中基于异常的DoS检测和预防
2. Anomaly detection of network-initiated LTE signaling traffic in wireless sensor and actuator networks based on a Hidden semi-Markov Model [J] . June-ho Bang, Young-Jong Cho, Kyungran Kang Computers & Security . 2017,第MARa期

机译：基于隐式半马尔可夫模型的无线传感器和执行器网络中网络发起的LTE信令流量异常检测
3. Spatial-temporal traffic flow pattern identification and anomaly detection with dictionary-based compression theory in a large-scale urban network [J] . Zhang Zhenhua, He Qing, Tong Hanghang, Transportation research . 2016,第OCTa期

机译：大型城市网络中基于字典压缩理论的时空交通流模式识别与异常检测
4. A Novel Network Traffic Model Based on Superstatistics Theory [C] . Yang Yue, Hu Hanping, Xiong Wei, 2010 2nd International Workshop on Intelligent Systems and Applications (ISA 2010) . 2010

机译：基于超统计理论的新型网络流量模型
5. Network anomaly detection using management information base (MIB) network traffic variables. [D] . Li, Jun. 2004

机译：使用管理信息库（MIB）网络流量变量进行网络异常检测。
6. A Novel Approach to Calculate the Spatial–Temporal Correlation for Traffic Flow Based on the Structure of Urban Road Networks and Traffic Dynamic Theory [O] . Mao Du, Lin Yang, Jiayu Tu 2021

机译：基于城市道路网络结构和交通动态理论计算交通流量空间相关性的一种新方法
7. A Novel Network Traffic Anomaly Detection Model Based on Superstatistics Theory [O] . Yue Yang, Hanping Hu, Wei Xiong, 2013

机译：一种基于超静电理论的网络流量异常检测模型

A Novel Network Traffic Anomaly Detection Model Based on Superstatistics Theory

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