Network-based Intrusion Detection Model for Detecting TCP SYN flooding
نویسندگان
چکیده
This paper presents a method for detecting TCP SYN flooding attack using BENEF model. Our model relies on the significant parameters of anomalous network packets, the statistic of system behavior, and the decision with threshold and fuzzy rule-based technique. With fuzzy technique, rules or a set of rules corresponding with the appropriate membership value are designed for analysis and to find the final decision. Our first prototype employs BENEF model to implement the network-based intrusion detection system. Current implementation is experiment with TCP SYN flooding attacks.
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