Fuzzy intrusion detection based on fuzzy reasoning Petri nets
作者： Meimei Gao , MengChu Zhou
DOI: 10.1109/ICSMC.2003.1244586
关键词:
摘要: Fuzzy rule-based technique, combining fuzzy logic and expert system methodology, not only is capable to deal with uncertainty in intrusion detection but also allows the most flexible reasoning about widest variety of information possible. It can be used both anomaly misuse detections. This paper presents a method for detecting based on technique. Reasoning Petri Nets (FRPN) model represent rule base derive final decision as an inference engine. FRPN have parallel ability are readily into real time detection. An illustration example TCP SYN flooding attack provided.
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