现代电子技术2016，Vol.39Issue(18)：12-16,5.DOI:10.16652/j.issn.1004-373x.2016.18.004
已知网络入侵模式的低匹配度数据信息集挖掘平台设计
Design of low matching degree data information set mining platform for known network intrusion pattern
摘要
Abstract
A low matching degree data information set mining platform for the known network intrusion patterns was de⁃signed and implemented. The structure of the overall hardware platform is introduced. The data mapping from the source data to the mining data is implemented with the data sampling pretreatment module to complete the process of discretization and data fil⁃tering processing. The low matching degree data information sets are classified with KC89C72 DIP40FILE classifier,and stored in SSRAM. On this basis,the stored low matching degree data information sets are confirmed and mined by means of the data mining module. In the software design process,the low compatibility data information set mining platform for the known network intrusion pattern is analyzed in detail. The realization process and program code of the low matching degree data information set mining are presented. The experimental results show that the low matching degree data information set mining accuracy,error rate,time and required memory of the platform is superior to those of the traditional Fuzzing platform,and the platform has a certain practicality.关键词
网络入侵模式/低匹配度/数据信息集/挖掘平台Key words
network intrusion pattern/low matching degree/data information set/mining platform分类
信息技术与安全科学引用本文复制引用
刘兴明,王三虎,张跃进..已知网络入侵模式的低匹配度数据信息集挖掘平台设计[J].现代电子技术,2016,39(18):12-16,5.基金项目
国家自然科学基金（31160200）；2015年度吕梁学院校级改革项目高校网络课程群的建设与改革 （）
