1. 东北大学信息科学与工程学院,辽宁,沈阳,110004
2. 武汉大学计算机学院,湖北,武汉,430072
3. 东北大学信息科学与工程学院辽宁沈阳,110004
4. 武汉大学计算机学院湖北武汉,430072
纸质出版:2005
移动端阅览
董晓梅, 于戈, 孙晶茹, 等. 基于频繁模式挖掘的报警关联与分析算法[J]. 电子学报, 2005,33(8):1356-1359.
DONG Xiao-mei, YU Ge, SUN Jing-ru, et al. An Alert Correlation and Analysis Algorithm Based on Frequent Pattern Mining[J]. Acta Electronica Sinica, 2005, 33(8): 1356-1359.
提出了一个入侵检测与响应协作模型
结合入侵容忍的思想扩展了入侵检测消息交换格式IDMEF
增加了怀疑度属性.除了发现的入侵事件外
一些可疑的事件也会报告给协作部件.提出了一个基于修改的CLOSET频繁闭模式挖掘算法的报警关联与分析算法
在分布式入侵检测与响应协作系统中
帮助协作部件对收到的IDMEF格式的报警消息进行关联和分析
以便做出合适的响应.为此
修改了CLOSET算法来按照最小支持度和最小怀疑度来得到频繁闭模式.实验结果表明
应用该算法可以很好地缩减报警数量
同时对于所有可疑的和入侵事件
都可以做出适宜的响应.
An intrusion detection and response cooperation model was proposed.Incorporating the intrusion tolerance idea
the Intrusion Detection Message Exchange Format (IDMEF) was extended and a suspicious degree attribute was added.So suspicious events as well as intrusions can be reported to the cooperation components.An alert correlation and analysis algorithm was proposed
which was based on the modified CLOSET frequent close pattern mining algorithm.The algorithm can help the cooperation components in a distributed intrusion detection and response cooperation system to correlate and analyze the alerts received to make appropriate responses.To meet this purpose
the CLOSET algorithm was modified to obtain frequent close patterns according to a minimum support and a minimum suspicion degree.Experimental results show that when applying the algorithm
the amount of alerts can be effectively decreased.And appropriate responses can be made according to all the suspicious and intrusion events.
0
浏览量
1003
下载量
2
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621