基于已知特征项和环境相关量的特征提取算法  

Signature Extraction Algorithm Based on Known Characteristic and Environment Dependent Variable

作　　者：马强[1] 谭小彬[1] 奚宏生[1] 

机构地区：[1]中国科学技术大学自动化系,合肥230026

出　　处：《计算机工程》2008年第13期124-126,共3页Computer Engineering

基　　金：国家"863"计划基金资助项目"信息技术领域信息安全专题"(2006AA01Z449)

摘　　要：在现有基于已知特征项特征提取算法的基础上,提出一种基于已知特征项和环境相关量的特征提取算法。该算法通过已知特征项搜索频繁项集,提高了特征提取速度。环境相关量的引入使提取的特征能更准确地描述入侵行为。实验结果表明,该算法在提取同类入侵行为的特征时,比Signature Apriori算法更快更准确。According to the existing signature extraction algorithm which considers the known character, this paper proposes a signature extraction algorithm based on known characteristic and environment dependent variable. This algorithm can improve the extracting speed by using the known character while searching the frequent items. The environment independent variable makes the signature more accurate. The experimental results show that this algorithm can extract the signature more quickly and more accurately than the Signature Apriori algorithm.

关 键 词：特征提取 环境相关量 ROC曲线 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]