摘要
数据融合技术能利用不同传感数据的冗余信息实现互补以提高信息处理的正确性。数据挖掘技术能从大量数据中挖掘和发现有价值和隐含的知识,用于建模和优化。在分析了网络取证在网络安全领域的重要作用的基础上,结合数据融合和数据挖掘技术对网络取证系统进行了研究,并阐述其功能和组成、数据融合和推理决策的过程。
Data fusion can improve the correctness of information processing based on complementary information from different sensors. Data mining can mine and discover valuable and hidden knowledge from databases for modeling and optimization. This paper analyses the importance of network forensics on network security,and studies a platform network forensics by combining data fusion and data mining. The functions and composition of the platform, knowledge representation and modeling, inference and decision making are presented.
出处
《现代电子技术》
2007年第9期59-61,共3页
Modern Electronics Technique
关键词
网络安全
数据融合
数据挖掘
网络取证
network security
data fusion
data mining
network forensics
