Web环境下大数据动态不良信息安全过滤系统设计

摘要

In view of the data turbulence problem in the web environment of the traditional information security filtering system,this paper presents a design of the security filtering system of big data in a web environment.A C/S system is adopted to optimize the control of the front-end host,which provides a good hardware reserve for the subsequent filtering calculation.Through the network gate data information filtering system,it avoids the problem of the mismatch of the traditional filtering system and solves the problem of data information shock effectively.The stochastic adaptive algorithm of weight value is optimized to ensure that the bad data information can be filtered all in the big data dynamic web environment.Big data to test in this paper,the design of web environment dynamic effectiveness of bad information security filtering system,design the contrast simulation experiment,the experimental data show that this design under the web environment of big data dynamic bad information security filtering system to effective information to filter the bad data.%针对传统的信息安全过滤系统在大数据的Web环境下存在的数据动荡问题,提出一种Web环境下大数据动态不良信息安全过滤系统设计.采用C/S系统架构,对前端主机的控制端进行了良好的优化选择,为后续的过滤计算提供了良好的硬件储备.通过网闸式的数据信.息过滤系统,避免了传统的过滤系统存在配差计算失衡的现象,有效的解决了数据信息震荡的问题.对权值的随机自适应算法进行了优化,保证在大数据动态Web环境下不良数据信息能够被全部的过滤.为验证本文设计的Web环境下大数据动态不良信息安全过滤系统的有效性,设计了对比仿真试验,实验数据表明,本文设计的Web环境下大数据动态不良信息安全过滤系统能够有效的对不良数据信息进行过滤.