改进关联规则数据挖掘在网络入侵检测中的应用

Improvement of association rules of data mining application in network intrusion detection

随着网络技术的广泛应用,网络系统的安全变得至关重要。入侵检测是保护网络系统安全的关键技术和重要手段,但现行的入侵检测达不到实际应用的需求。关联规则挖掘可以从海量数据中发现正常和异常的行为模式,有效地检测入侵。因此,研究关联规则的数据挖掘对于提高入侵检测的准确性和时效性具有非常重要的意义。

With the wide application of network technology,network security becomes critical.Intrusion detection is the key to protect the network security technology and an important tool,but not up to the existing intrusion detection practical applications.Association rule mining can be found in the data from the mass of normal and abnormal behavior patterns,to effectively detect intrusions.Therefore,the study association rule mining algorithm for improving intrusion detection accuracy and timeliness has very important significance.