机译:Cyber Pulse ++:一种基于机器学习的安全框架,用于检测软件定义网络中的链路泛洪攻击
Institute for Sustainable Industries & Liveable Cities VU Research Victoria University Melbourne Victoria Australia;
Institute for Sustainable Industries & Liveable Cities VU Research Victoria University Melbourne Victoria Australia;
School of Electrical Engineering and Computer Science National University of Sciences and Technology Islamabad Pakistan Department of Computer Science North Dakota State University Fargo North Dakota USA;
Institute for Sustainable Industries & Liveable Cities VU Research Victoria University Melbourne Victoria Australia;
School of Business Torrens University Sydney NSW Australia;
Montreal Blockchain Laboratory Department of Computer Science and Operational Research University of Montreal Montreal Canada;
control channel attacks; link flooding attacks; machine learning; network security; SDN; traffic classification;
机译:使用基于熵和C4.5技术检测软件定义网络中DDOS泛洪攻击的两个级别安全机制
机译:基于机器学习的分布式拒绝服务攻击检测技术使用软件定义网络中的新功能
机译:通过特征选择方法和机器学习模型检测软件定义网络中的DDOS攻击
机译:SMDMTS –用于在软件定义的网络中检测和缓解慢/快TCP-SYN Flood攻击的可扩展模型
机译:通过使用软件定义的网络和制造商使用说明来主动检测基于IoT的洪泛攻击
机译:基于软件定义网络的移动网络的安全评估机制
机译:人工免疫系统和模糊逻辑,以检测软件定义网络中的洪水攻击