舰船监控网络入侵的实时检测研究

Research on real-time detection of monitoring network intrusion

传统舰船监控网络入侵检测方法实时性差,无法及时发现舰船监控网络中的入侵行为。为了满足舰船监控网络入侵检测的实时性,加快舰船监控网络入侵检测速度,提出一种舰船监控网络入侵的实时检测方法。首先提取舰船监控网络入侵行为特征,然后引入特征降维算法对舰船监控网络入侵行为进行处理,使得舰船监控网络入侵行为特征数量变少,最后引入支持向量机对舰船监控网络入侵行为进行分类和检测,并通过实例分析本文方法的有效性。结果表明,本文方法能够有效防止出现'维数灾'现象,具有较好的舰船监控网络入侵检测实时性,提高入侵检测的准确性,能够有效保证舰船监控网络安全。

The traditional intrusion detection methods of warship monitoring network have poor real-time performance and can not detect the intrusion behavior in warship monitoring network in time.In order to satisfy the real-time performance of warship monitoring network intrusion detection and speed up the speed of warship monitoring network intrusion detection,a real-time detection method of warship monitoring network intrusion is proposed.Firstly,the intrusion behavior characteristics of ship monitoring network are extracted,and then feature dimension reduction algorithm is introduced to deal with the intrusion behavior of ship monitoring network,which makes the number of intrusion characteristics of ship monitoring network less.Finally,support vector machine is introduced to classify and detect the intrusion behavior of ship monitoring network,and the effectiveness of this method is analyzed through an example.The results show that this method can effectively prevent the occurrence of'dimension disaster',has better real-time intrusion detection of ship monitoring network,improves the accuracy of intrusion detection,and can effectively ensure the safety of ship monitoring network.