基于大数据的网络数据信息安全实时监测方法

Real Time Monitoring Method of Network Data Information Security Based on Big Data

网络数据信息安全监测是确保网络平台正常运行的重要措施。文章针对网络数据信息安全实时监测精度低、时间长等问题,提出了基于大数据的网络数据信息安全实时监测方法。其采用模糊等价处理方式,聚类处理网络数据信息中情景因素,对网络数据信息安全因素进行关联分析。通过聚类算法比对网络数据信息安全行为数据特征向量与已标记过的正常行为特征向量的关联程度,判定网络数据信息安全异常行为。在此基础上,基于大数据技术对网络数据信息安全状态进行实时监测。实验结果表明,所提方法的网络数据信息安全实时监测精度较高,能够有效缩短网络数据信息安全实时监测时间。

Network data information security monitoring is an important measure to ensure the normal operation of the network platform.Aiming at the problems of low accuracy and long time of real-time monitoring of network data information security,this paper proposes a real-time monitoring method of network data information security based on big data.It adopts the fuzzy equivalent processing method to cluster the scenario factors in the network data information,and carries out the correlation analysis on the network data information security factors.By comparing the correlation degree between the network data information security behavior data feature vector and the marked normal behavior feature vector through clustering algorithm,the network data information security abnormal behavior is judged.On this basis,the security status of network data information is monitored in real time based on big data technology.The experimental results show that the proposed method can effectively shorten the real-time monitoring time of network data information security.