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An Evaluation Model of CNO Intelligence Information Confidence

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Web Information Systems and Mining (WISM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5854))

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Abstract

Intelligence activity is one of the most important activities during Computer Network Operation (CNO) command and decision-making process. Specially, Evaluation of Intelligence Information Confidence is the basic element of intelligence activity and process. As intelligence is essential foundation when forming Course Of Action (COA), confidence evaluation, with the main function of determining facticity and reliability of intelligence, will effect the quality and efficiency of CNO command and decision-making. In this paper, an evaluation model of CNO intelligence information confidence IICEM was described with respect to the reliability of collectors and the credibility of the information content through analyzing the intelligence information evaluation role model IIERM. The results of experiments on the prototype based on IICEM show that different confidence information could be distinguished by IICEM, which affect the following analysis and production activities.

This work is supported by three projects: the National 863 Project “Research on high level description of network survivability model and its validation simulation platform” under Grant No.2007AA01Z407; The Co-Funding Project of Beijing Municipal education Commission under Grant No.JD100060630 and National Foundation Research Project.

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© 2009 Springer-Verlag Berlin Heidelberg

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Sun, Y., Yao, S., Li, X., Xia, C., Zhang, S. (2009). An Evaluation Model of CNO Intelligence Information Confidence. In: Liu, W., Luo, X., Wang, F.L., Lei, J. (eds) Web Information Systems and Mining. WISM 2009. Lecture Notes in Computer Science, vol 5854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05250-7_43

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  • DOI: https://doi.org/10.1007/978-3-642-05250-7_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05249-1

  • Online ISBN: 978-3-642-05250-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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