{"title":"基于协同模型的网络威胁行为检测与趋势分析","authors":"Dong Ma, Yongjun Wang","doi":"10.1109/MINES.2012.148","DOIUrl":null,"url":null,"abstract":"In this paper, we present a network detection method based on collaborative model of network threat attacks, as well as trend analysis of network structure. First of all, the collaborative model is given a specific framework, build process and collaborative mechanisms. Then ripe for pattern matching algorithm and behavioral sequence template for a simple introduction to this approach, and explains how to use the collaborative model structure. Finally, the security situation of the entire network is analyzed by a quantitative situation evaluating model, The experiment results shows that, during its running in an intranet security guard system of a large enterprise, the next-step attack can be predicted by our algorithm, and the security situation of the entire network can be accurately evaluated as well.","PeriodicalId":208089,"journal":{"name":"2012 Fourth International Conference on Multimedia Information Networking and Security","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network Threat Behavior Detection and Trend Analysis Based on the Collaborative Model\",\"authors\":\"Dong Ma, Yongjun Wang\",\"doi\":\"10.1109/MINES.2012.148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a network detection method based on collaborative model of network threat attacks, as well as trend analysis of network structure. First of all, the collaborative model is given a specific framework, build process and collaborative mechanisms. Then ripe for pattern matching algorithm and behavioral sequence template for a simple introduction to this approach, and explains how to use the collaborative model structure. Finally, the security situation of the entire network is analyzed by a quantitative situation evaluating model, The experiment results shows that, during its running in an intranet security guard system of a large enterprise, the next-step attack can be predicted by our algorithm, and the security situation of the entire network can be accurately evaluated as well.\",\"PeriodicalId\":208089,\"journal\":{\"name\":\"2012 Fourth International Conference on Multimedia Information Networking and Security\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Fourth International Conference on Multimedia Information Networking and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MINES.2012.148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Conference on Multimedia Information Networking and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MINES.2012.148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Network Threat Behavior Detection and Trend Analysis Based on the Collaborative Model
In this paper, we present a network detection method based on collaborative model of network threat attacks, as well as trend analysis of network structure. First of all, the collaborative model is given a specific framework, build process and collaborative mechanisms. Then ripe for pattern matching algorithm and behavioral sequence template for a simple introduction to this approach, and explains how to use the collaborative model structure. Finally, the security situation of the entire network is analyzed by a quantitative situation evaluating model, The experiment results shows that, during its running in an intranet security guard system of a large enterprise, the next-step attack can be predicted by our algorithm, and the security situation of the entire network can be accurately evaluated as well.