摘要： 计算机网络侦察是网络战的一个重要环节,如何对大量的来自不同侧面的网络侦察数据进行有效的融合是其中的一个难点问题。该文分析了计算机网络侦察信息的特点以及计算机网络侦察信息融合处理的特点,基于可能性理论和模糊综合函数理论提出了一种计算机网络侦察目标识别模型和计算机网络侦察数据的时空数据融合算法,并讨论了时空数据融合算法间的相互关系。

关键词: 数据融合, 计算机网络侦察, 目标识别模型

Abstract: Computer network reconnaissance is a key process during the cyberspace warfare . It is one of the difficulties that how to do data fusion of plenty of computer network reconnaissance information effectively. This paper analyses the features of computer network reconnaissance information and features of computer network reconnaissance information fusion method. A computer network reconnaissance object identifying model and a time and space field data fusion algorithm based on probability theory and fuzzy synthesis function theory are brought forward . Also the correlativity between time field data fusion algorithm and space field data fusion algorithm is discussed.

中图分类号: 

• TP393