Title :
Text Clustering on National Vulnerability Database
Author :
Huang, Shuguang ; Tang, Heping ; Zhang, Min ; Tian, Jie
Author_Institution :
Dept. of Network Eng., Electron. Eng. Inst., Hefei, China
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.
Keywords :
database management systems; pattern clustering; security of data; text analysis; BatchSom clustering algorithm; BisectingKMeans clustering algorithm; Simplekmean clustering algorithm; cluster overlap index; descriptor dominance index; dominant vulnerability taxonomies; national vulnerability database; software vulnerability; text clustering; Data engineering; Data security; Databases; Frequency; Indexes; Information security; National security; Open source software; Statistics; Taxonomy; Cluster overlap indexs; Dominant vulnerability taxonomies; Text clustering; Vulnerability database;
Conference_Titel :
Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
Conference_Location :
Bali Island
Print_ISBN :
978-1-4244-6079-3
Electronic_ISBN :
978-1-4244-6080-9
DOI :
10.1109/ICCEA.2010.209
