移动互联网异常入侵行为下攻击意图预测仿真

Simulation of Attack Intent Prediction Under Abnormal Intrusion Behavior of Mobile Internet

对移动互联网异常入侵行为下的攻击意图进行预测,在处理互联网异常入侵行为方面具有重要意义。在对异常入侵行为攻击意图预测时,传统方法主要利用网络异常入侵路径进行预测,忽略了报警信息流程对其预测过程的影响,导致意图预测效率低的问题。为解决上述问题,提出基于复合攻击算法的互联网异常入侵行为下攻击意图预测方法。利用互联网单元中的基函数和权分析互联网的结构,量化互联网中数据变量后,将其发送到储存区域,通过计算互联网单元中的基函数,将计算结果代入到互联网结构中,建立互联网CMAC入侵意图预测模型。进一步建立互联网的匹配规则,通过分析异常入侵行为攻击意图的报警维护移动互联网,引入复合攻击算法,计算攻击类型节点和节点之间的加权值,实现移动互联网异常入侵行为下攻击意图的预测。仿真结果表明,提出方法具有对异常入侵行为攻击意图预测效率高、准确性高的优点。

In this paper,we focus on a method to predict attack intention under Internet abnormal intrusion behavior based on compound attack algorithm.At first,basis function and weight in the internet unit were used to ana- lyze the structure of internet.After the data variables in the internet were quantified,we sent them to the storage area.By calculating the basis functionAn the internet unit,we introduced the calculation result into the internet structure and established the internet CMAC invasion intention prediction model.Then,we further established the matching rule of the Interuet.Meanwhile,we maintained the mobile Internet by analyzing the alarm of attack intention under abnormal invasion behavior.Moreover,we introduced the compound attack algorithm to calculate the weighted value between attack nodes.Thus,we could realize the prediction of attack intention under abnormal invasion behav- ior of mobile Internet.Simulation results prove that the proposed method has the advantages of high efficiency and high accuracy for predicting abnormal intrusion behavior.