Titlebook: Cyberspace Safety and Security; 11th International S Jaideep Vaidya,Xiao Zhang,Jin Li Conference proceedings 2019 Springer Nature Switzerla

光明正大

拋媚眼

978-3-030-37351-1Springer Nature Switzerland AG 2019

Protein

IoT-Based DDoS Attack Detection and Mitigation Using the Edge of SDNble IoT devices are exploited to constitute botnet by many attackers, which forms a serious problem for network security. To solve it, we propose a novel detection and mitigation mechanism. In our method, we use Software Defined Networking (SDN), a promising network architecture, for dropping malici

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AWRY

obeisance

DDoS Attack Detection Method Based on V-Support Vector Machinecult to detect the current detection methods. This paper proposes a DDoS attack detection method based on V-Support Vector Machine (SVM). This method defines a nine-tuple network service association feature to extract the feature of the network flow, then normalizes the feature data and reduces the

搖晃

DDOS Multivariate Information Fusion Model Based on Hierarchical Representation Learning(HRM) based on hierarchical representation learning network and a FlowMerge algorithm based on three network flow merging modes are proposed. Firstly, the network traffic is transformed into triples, and the dimensionality reduction of Tsne algorithm is used to transform it into network IP topology

atrophy

mechanism

Keshan-disease