作者: Nour Moustafa , Jiankun Hu , Jill Slay
DOI: 10.1016/J.JNCA.2018.12.006
关键词:
摘要: Abstract Network Anomaly Detection Systems (NADSs) are gaining a more important role in most network defense systems for detecting and preventing potential threats. The paper discusses various aspects of anomaly-based Intrusion (NIDSs). explains cyber kill chain models cyber-attacks that compromise systems. Moreover, the describes Decision Engine (DE) approaches, including new ensemble learning deep approaches. also provides details about benchmark datasets training validating DE Most NADSs’ applications, such as Data Centers, Internet Things (IoT), well Fog Cloud Computing, discussed. Finally, we present several experimental explanations which follow by revealing promising research directions.