基于图像内容过滤的智能监测系统的研究

提出了一种基于知识的以图像内容过滤的智能网络安全监测系统,解决目前网络安全系统对于图像信息监测能力严重不足的问题.该系统采用了以知识为主的信息反馈机制,以基于轮廓特征提取与多智能体技术的图像检索算法作为图像内容监测与分析的引擎中枢。采用基于知识的安全审计机制,具体由控制智能体执行,实现对于历史监测数据及规则的智能数据挖掘与检索,能准确实时地监测网络中的图像信息,实验效果良好。

Research on Knowledge-Based Network Image Content Intelligent Detecting System

A Knowledge-Based intelligent network image content security system is presented to deal with the deficiency of image detecting ability of current network security system . It adopts an information feedback and knowledge-based mechanism, brings forward an image content retrieval algorithm based on layout feature extraction and multi-agent technology as the core of image content detecting-analysis system, and realizes automatic target classifier by fusion algorithm. A security-auditing mechanism based on knowledge to audit and mine the history data is proposed and realized by control-Agent. Hence, it can improve the security and reliability of the network system. An example is illustrated its efficiency.