Research on Network Security of PrefixSpan Algorithm Based on Data

Abstract

With the popularization of computer network, people pay more and more attention to network
security. According to the characteristics of network security audit data in computer intrusion detection, an
improved PrefixSpan algorithm is proposed. Introducing time constraints and attribute-related features to
guide mining, this algorithm is applied in the process of intrusion data mining. Based on the existing axis
features, the problem of detecting intrusion modes with frequent intrusion features is solved, and new
intrusion forms can be obtained through data mining. It gets rid of the shortcoming of establishing candidate
database in traditional algorithm and saves the space of database effectively. It is a new data mining
algorithm, so its advancement is beyond doubt.