基于图像内容过滤的智能防火墙系统研究与实现

RESEARCH AND IMPLEMENTATION OF AN INTELLIGENT FIREWALL SYSTEM BASED ON IMAGE CONTENT FILTERING

针对目前网络安全系统对于图像信息处理能力不足的问题 ,开发了一种基于图像内容过滤的智能防火墙系统 ,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 .提出了一种基于轮廓特征抽取与多智能体技术的图像内容检索算法作为本系统的核心算法 .该算法首次将图像检索问题看作是一个分布式求解问题 ,并以智能体技术作为支撑技术 ,解决了目前多维索引算法在大型图像库检索效率低下的问题 ,在不降低图像识别率的情况下 。

Considering the deficiency of current network security system's image processing ability, an intelligent firewall system is developed in this paper, which is based on image content filtering. The system can detect the image information of the network truly and quickly, so it improves the reliability and security of the runtime network system. An image content retrieval algorithm based on layout feature extraction and multi\|agent technology is brought forward. For the first time it treats the image retrieval problem as a distributed solving problem, and makes the agent technology as the supporting technology. Therefore, it solves the low efficiency of the current multi\|dimensional indexing algorithm acting on the large\|scale image library, and improves the system's retrieval speed under the condition of keeping the high recognizing rate.