| 摘要: |
| 针对目前网络安全系统对于图像信息监测能力不足的问题,提出了一种基于图像内容的智能网络安全监测系统模型.该模型采用了信息反馈与知识辅助机制,以基于轮廓特征抽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模型的核心,采用基于遗传算法的安全性审计机制实现对于历史监测数据及规则的智能挖掘与审计,从而能够准确、实时地监测网络中的图像信息,提高了网络系统的运行可靠性和安全性.此外,还给出了该模型的原型描述及实现. |
| 关键词: 网络安全 图像内容监测 安全性审计 遗传算法 Daubechies小波 |
| DOI： |
| 分类号: |
| 基金项目:国家863高科技发展计划资助项目(863-306-ZT05-05-5) |
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| A Novel Intelligent Network Image Content Detecting System Model |
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XU Qiang,ZHAO Hong,JIANG Zao
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| Abstract: |
| In allusion to the deficiency of image detecting ability of current network security system, anintelligent network security system model is developed based on image content detecting. It adopts aninformation-feedback and knowledge-aid mechanism, brings forward an image content retrieval algorithm based on layout feature extraction and multi-agent technology as the kernel of image content detecting-analysis model, and realizes a security-auditing mechanism based on genetic algorithm to audit and mine the history knowledge base intelligently.Therefore,it can improve the security and reliability of yhe network system.Furthermore,a prototype of the system model is described. |
| Key words: network security image content detecting security audit genetic algorithm Daubechies wavelet |
