Anomaly Detection Using Cooperative Fuzzy Logic Controller
作者： Ali Feizollah , Shahaboddin Shamshirband , Nor Badrul Anuar , Rosli Salleh , Miss Laiha Mat Kiah
DOI: 10.1007/978-3-642-40409-2_19
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摘要: This paper presents an Intrusion Detection System (IDS) with the integration of multi agent systems and artificial intelligence techniques such as fuzzy logic controller (FLC), multi-layer perceptron (MLP) adaptive neuro-fuzzy inference system (ANFIS). The introduces Network Systems (NIDS), which monitors network traffic detect any possible attacks. is made up three agents: accumulator, analyser decision maker agents. accumulator works to gather filter traffics. uses tree (DT) classify data. Finally, (FLC) make final decision. proposed was simulated using KDDCup 1999 dataset experimental results show improvement attack detection accuracy 99.95% false alarm rate 1%.
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sci-hub.se 参考文章(23)
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