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机译:结合OpenFlow和sFlow在SDN环境中提供有效且可扩展的异常检测和缓解机制
Network Management & Optimal Design Laboratory (NETMODE), School of Electrical & Computer Engineering, National Technical University of Athens (NTUA), Greece;
Network Management & Optimal Design Laboratory (NETMODE), School of Electrical & Computer Engineering, National Technical University of Athens (NTUA), Greece;
Network Management & Optimal Design Laboratory (NETMODE), School of Electrical & Computer Engineering, National Technical University of Athens (NTUA), Greece;
Network Management & Optimal Design Laboratory (NETMODE), School of Electrical & Computer Engineering, National Technical University of Athens (NTUA), Greece;
Network Management & Optimal Design Laboratory (NETMODE), School of Electrical & Computer Engineering, National Technical University of Athens (NTUA), Greece;
Software Defined Networking; SDN; OpenFlow; sFlow; Anomaly detection; Attack mitigation;
机译:通过OpenFlow中间盒为旧网络提供可扩展的异常检测和缓解架构
机译:在SDN中基于深度学习的DDOS检测的Sflow和自适应轮询抽样
机译:基于神经网络的检测和减轻DDOS攻击中DDOS环境的方法
机译:在SDN中使用NFV和强化学习进行异常检测和缓解
机译:具有NS-3的SDN环境中基于网络的基于AIS的DDOS攻击检测
机译:使用集成学习的SDN支持的IoT异常检测
机译:基于SDN的SFLOW标准的大流量检测,标记和缓解
机译:基于异常的检测机制的性能评估