Existing intrusion detection and defense models for CPSS (Cyber-Physical-Social Systems)
are based on analyzing the static intrusion characteristics, which cannot effectively detect …

With the development of Software Defined Networking (SDN), its security is becoming
increasingly important. Since SDN has the characteristics of centralized management and …

Software Defined network (SDN), as a new network architecture, is the direction of future
network development. By decoupling the control plane and data plane of the network, the …

Software defined networking (SDN) improves the flexibility and programmability of the
network by separating the control plane and the data plane and effectively realizes the …

With the rapid development of smart grids, the number of various types of power IoT terminal
devices has grown by leaps and bounds. An attack on either of the difficult-to-protect end …

针对软件定义网络(SDN) 较传统网络更易遭受网络攻击的现实, 从技术原理和架构特点出发,
对近年来面向软件定义网络的异常流量检测研究进展进行综述, 分析了SDN …

This paper presents a Distributed Denial-of-Services (DDoS) attack detection method using
Deep Neural Network (DNN) based on flow-based network information. In the proposed …

This paper studies Distributed Denial of Service (DDoS) attack detection by adopting the
Deep Neural Network (DNN) model in Software Defined Networking (SDN). We first deploy …

In this study, we provide Deep Neural Network (DNN) based approaches to detecting
Distributed Denial-of-Service (DDoS) attacks. In order to improve the DNN's accuracy, the …

The data forwarding plane in the Software Defined Network (SDN) is decoupled from the
network control plane, which can realize the unified control of the whole network by the …