Research on causal network modeling methods for command information systems

Xinrui Shi; Jianping Wu; Yunjun Lu

doi:10.1117/12.3010598

20 October 2023 Research on causal network modeling methods for command information systems

Xinrui Shi, Jianping Wu, Yunjun Lu

Proceedings Volume 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023); 128140O (2023) https://doi.org/10.1117/12.3010598
Event: Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 2023, Chongqing, China

Abstract

Command information system is the core support of information war. Different from most existing studies which based on complex networks, we evaluate command information system from the perspective of causality. Specifically, in this paper, we establish a causal network model of command information system, aiming to evaluate the causal relationship within the command information system. We abstract the command information system into three types of nodes: information obtaining, information processing and command decision. On this basis, we analyze the causal relationship between nodes, and conduct skeleton learning and causal orientation for command information system causal network. The result of simulation analysis on a synthetic travel command information system is consistent with the actual background, which verifies the validity of our research.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xinrui Shi, Jianping Wu, and Yunjun Lu "Research on causal network modeling methods for command information systems", Proc. SPIE 12814, Third International Conference on Green Communication, Network, and Internet of Things (CNIoT 2023), 128140O (20 October 2023); https://doi.org/10.1117/12.3010598

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