{"title":"基于专家系统和BP神经网络相结合的入侵检测系统","authors":"Wu Kai-jun","doi":"10.1109/icciautom.2011.6184024","DOIUrl":null,"url":null,"abstract":"This paper aims to study the application of expert system combined with neural network in Intrusion Detection System.It brings improvement to BP algorithm of neural networks,meanwhile a series of rule sets have been created through absorbing experience and knowledge from experts,scholars as well as professional forecasters,which benefits simulation of human expert reasoning of the decision-making process and judgments to create an expert system,thereby improving the deficiencies in intrusion detection with single BP algorithm.","PeriodicalId":18640,"journal":{"name":"Microcomputer Information","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intrusion Detection System Based on Combination of Expert System and BP Neural Network\",\"authors\":\"Wu Kai-jun\",\"doi\":\"10.1109/icciautom.2011.6184024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper aims to study the application of expert system combined with neural network in Intrusion Detection System.It brings improvement to BP algorithm of neural networks,meanwhile a series of rule sets have been created through absorbing experience and knowledge from experts,scholars as well as professional forecasters,which benefits simulation of human expert reasoning of the decision-making process and judgments to create an expert system,thereby improving the deficiencies in intrusion detection with single BP algorithm.\",\"PeriodicalId\":18640,\"journal\":{\"name\":\"Microcomputer Information\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Microcomputer Information\",\"FirstCategoryId\":\"1087\",\"ListUrlMain\":\"https://doi.org/10.1109/icciautom.2011.6184024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microcomputer Information","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.1109/icciautom.2011.6184024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intrusion Detection System Based on Combination of Expert System and BP Neural Network
This paper aims to study the application of expert system combined with neural network in Intrusion Detection System.It brings improvement to BP algorithm of neural networks,meanwhile a series of rule sets have been created through absorbing experience and knowledge from experts,scholars as well as professional forecasters,which benefits simulation of human expert reasoning of the decision-making process and judgments to create an expert system,thereby improving the deficiencies in intrusion detection with single BP algorithm.