基于AC-BM算法的移动互联网审计平台性能提升方法

摘要

In recent years, mobile Internet network run amok in the rapid development of network trafifc is not only the surge of number of users increases and become a remarkable achievement, also put forward higher request to the existing network environment. Based on the current mobile network environment, this paper takes the mobile Internet auditing system for the experimental platform, the use of deep packet inspection packet analysis technology such as identiifcation, audit, analysis of network lfow data, and through the technology of the mobile Internet trafifc data for reasonable monitoring, control the spread of harmful information. In addition, this article USES AC - BM algorithm optimize the audit platform recognition algorithm, fast and efifcient data analysis and processing, in order to solve the user use increased rush-hour trafifc, cause of system performance in even the problem such as packet loss, the analysis is not comprehensive.%近年移动互联网络以燎原之势迅速发展，用户群数量上涨和激增的网络流量不仅仅成为举世瞩目的成就，也对现有的网络环境提出了更高的要求。基于当下的移动网络环境，文章以移动互联网审计系统为实验平台，使用深度包检测等数据包分析技术对网络流通数据进行识别、审计、分析，并通过该技术对移动互联网中的流量数据进行合理监测、管控有害信息传播。另外，文章使用AC-B M算法对审计平台的识别算法进行优化，快速有效地分析处理数据，以解决用户使用高峰时段访问量骤增，导致的系统性能骤降甚至丢包、分析不全面等问题。