Techniques for Intrusion Detection Based on Intuitionistic Fuzzy Reasoning
Huang Xiao-wen · Microelectronics & Computer · 2009
The paper brings the theory of IFS into the field of information security and proposes a technique for intrusion detection based on intuitionistic fuzzy reasoning. First,intrusion features,nondeterminacy to intrusion detection,and the properties and vulnerabilities of the existing intrusion detection methods are analyzed and a method for data preprocessing in intrusion detection is given. Then,the intrusion features are transformed to intuitionistic fuzzy sets and the membership and nonmembership functions are devised. Subsequently,the inference rules of the system are constructed,the algorithms for reasoning and defuzzification are also devised. Finally,the validity is checked by providing intrusion detection instances with KDD CUP 99 dataset.