摘要
通过strace命令实时收集到基于Linux系统调用的数据,利用STIDE算法产生固定长度调用序列.对产生的数据集进行特征提取与选择,基于数据挖掘软件WEKA进行数据分析,以得出精确度较高的分类算法.
Real-time data based on Linux system call are collected by means of strace command, fixed-length system call sequence data sets are created by means of STIDE algorithm. Features are extracted and selected from different dimensions. The generated data sets are analyzed through WEKA and the algorithms with higher accuracy are summarized.
出处
《上海电力学院学报》
CAS
2013年第6期540-543,共4页
Journal of Shanghai University of Electric Power
基金
上海市自然科学基金(12ZR1411900
11ZR1414300)
上海市教育委员会科研创新项目(11YZ194
12YZ146
12YZ147)
