基于网络信息隐性挖掘技术的恐怖人员定位

The Method of Terrorists Location Based on Network Information Hidden Mining Technology

恐怖人员在网络中发送恐怖信息时,根据恐怖信息来源的网络节点能够实现对恐怖人员的准确定位。恐怖人员发送恐怖信息与正常信息的属性不同,伪装性较强。利用传统的恐怖信息挖掘方法进行恐怖人员定位时,固有的恐怖信息被伪装,难以进行恐怖信息的准确挖掘,造成恐怖人员定位准确性降低。为此,提出一种基于聚类算法的网络中恐怖信息挖掘方法。在网络信息中筛选有价值的恐怖信息特征,从而为恐怖信息挖掘提供依据。利用聚类算法,对所有恐怖信息特征进行聚类处理,能够实现对网络中恐怖信息的挖掘,最终实现了对恐怖人员的定位。实验结果表明,利用该方法进行网络中恐怖信息挖掘,能够实现对恐怖人员的准确定位。

Terrorist people send terrorist information in the network, the network node based on terroristinformation sources to realize accurate positioning to the terrorist.Terrorist people send terroristinformation normal attribute is different, disguise the strong.Using traditional information miningmethods for horror personnel positioning, the terrorist information inherent in disguise, to terroristinformation mining accurately, which reduces the terrorist personnel positioning accuracy.For this, putforward a network based on clustering algorithm in the terrorist information mining method.Screening ofthe horrors of the valuable information in the network information characteristics, so as to provide thebasis for terrorist information mining.Using clustering algorithms, clustering characteristics of all terroristinformation processing, can realize the network of information mining of terror, finally realizes thelocalization to the terrorist.The experimental results show that the terrorist in the use of the method fornetwork information mining, can realize accurate positioning to the terrorist.