A network adaptive intrusion detection system model based on ontology mapping
Nie Guo-lei · JOURNAL OF HUNAN AGRICULTURAL UNIVERSITY · 2010
according to the intrusion detection system,data noise interference with the response speed to keep pace with the growth of network intrusion model,knowledge changes and imperfect problem,this paper proposes a method based on ontology mapping network adaptive intrusion detection system model.In this model,data information and chunk trained to form ontology knowledge base,predictable and known characteristics,forming characteristics of data mining,To test data set,the ontology training on ontology and ontology mapping,similarity knowledge than system safety data collection reference library characteristic analysis,the characteristics of operation,if misused,otherwise,belong to suggest to alarm;abnormal data,Each test,to end an ontology and real-time update feature library.The model of fuzzy judgment by ontology mapping and feature library concretely analyzed combining,effectively improve the efficiency and warning.