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基于稀疏矩阵存储的状态表压缩算法
引用本文:姚远,刘鹏,王辉,笱程成.基于稀疏矩阵存储的状态表压缩算法[J].计算机应用,2010,30(8):2157-2160.
作者姓名:姚远  刘鹏  王辉  笱程成
作者单位:1. 2. 解放军信息工程大学信息工程学院
摘    要:正则表达式匹配对于网络安全应用至关重要。将稀疏矩阵和索引表引入确定的有限自动机的状态转换表,提出了一种稀疏矩阵索引的状态压缩表算法,并给出了稀疏矩阵和索引表的构造方法。而后同字母压缩表算法结合,给出了该算法的优化策略。最后在实际规则集上进行评估,实验结果证明了算法的压缩效果,并进一步得出了算法的适用范围。

关 键 词:确定的有限自动机  深度包检测  正则表达式  稀疏矩阵  压缩算法  
收稿时间:2010-03-01
修稿时间:2010-04-04

Compression algorithm of state transition table based on sparse matrix
YAO Yuan,LIU Peng,WANG Hui,GOU Cheng-cheng.Compression algorithm of state transition table based on sparse matrix[J].journal of Computer Applications,2010,30(8):2157-2160.
Authors:YAO Yuan  LIU Peng  WANG Hui  GOU Cheng-cheng
Abstract:Regular expression matching is essential for network security applications. In this paper, a smi-SCT (State transition Compressed Table of sparse matrix index) algorithm was proposed.Firstly a sparse matrix and index table were introduced into Deterministic Finite Automaton (DFA) with a general create method of them. Then combined with the smi-SCT with alphabet compression table algorithm, an optimization strategy of the algorithm was given. At last proved the compression effect of smi-SCT and gave the applicable scope of smi-SCT according to the experimental results on compression effects.
Keywords:Deterministic Finite Automaton (DFA)                                                                                                                        Deep Packet Inspection (DPI)                                                                                                                        regular expression                                                                                                                        sparse matrix                                                                                                                        compression algorithm
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