基于多序列比对的网络攻击特征数据提取算法分析

On Data Extraction Algorithm Analysis of Network Attack Feature Based on Multiple Sequence Alignments

网络安全是目前网络工作者研究的主要问题,随着计算机技术的不断发展,网络攻击方式层出不穷.攻击特征自动提取技术是目前网络安全研究的一种重要技术.该文以研究网络攻击特征数据提取算法为切入点,通过几种序列比对自动提取算法的分析,引入了一种改进算法,并对其进行应用.应用结果表明,该算法能有效地降低误报率,与其他算法相比有一定的应用价值.

Network security is one of the major issues for the current network research workers. With the continuous development of computer technology, the ways of network attack emerge in endlessly. The technology of attack features with automatical extracting is an important technology of network security research today. To study the characteristics of network attack with data extracting algorithm as the breakthrough p proved ad oint and to analyze aptive algorithm is the automatical extracting algorithm through several kinds of sequence, an imintroduced and application. The results of its application show that the pro- posed algorithm can effectively reduce the ber, and have certain application value compared with other al gorithms.