{"title":"基于国家漏洞数据库的文本聚类","authors":"Shuguang Huang, Heping Tang, Min Zhang, Jie Tian","doi":"10.1109/ICCEA.2010.209","DOIUrl":null,"url":null,"abstract":"In order to solve the problem of taxonomies overlap in software vulnerability, a method of vulnerability classifying based on text clustering in NVD (National Vulnerability Database) is proposed, and Cluster Overlap Index is used to evaluate Simplekmean, BisectingKMeans and BatchSom clustering algorithms. 45 main vulnerability clusters are selected from approximate 40,000 vulnerability records according to Descriptor Dominance Index. These dominant vulnerability taxonomies become our study focuses, which transforms our works from individual to vulnerability taxonomies research","PeriodicalId":207234,"journal":{"name":"2010 Second International Conference on Computer Engineering and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Text Clustering on National Vulnerability Database\",\"authors\":\"Shuguang Huang, Heping Tang, Min Zhang, Jie Tian\",\"doi\":\"10.1109/ICCEA.2010.209\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to solve the problem of taxonomies overlap in software vulnerability, a method of vulnerability classifying based on text clustering in NVD (National Vulnerability Database) is proposed, and Cluster Overlap Index is used to evaluate Simplekmean, BisectingKMeans and BatchSom clustering algorithms. 45 main vulnerability clusters are selected from approximate 40,000 vulnerability records according to Descriptor Dominance Index. These dominant vulnerability taxonomies become our study focuses, which transforms our works from individual to vulnerability taxonomies research\",\"PeriodicalId\":207234,\"journal\":{\"name\":\"2010 Second International Conference on Computer Engineering and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computer Engineering and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEA.2010.209\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Computer Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEA.2010.209","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Text Clustering on National Vulnerability Database
In order to solve the problem of taxonomies overlap in software vulnerability, a method of vulnerability classifying based on text clustering in NVD (National Vulnerability Database) is proposed, and Cluster Overlap Index is used to evaluate Simplekmean, BisectingKMeans and BatchSom clustering algorithms. 45 main vulnerability clusters are selected from approximate 40,000 vulnerability records according to Descriptor Dominance Index. These dominant vulnerability taxonomies become our study focuses, which transforms our works from individual to vulnerability taxonomies research
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