Title
Disintegration of Operational Capability of Heterogeneous Combat Networks Under Incomplete Information
Abstract
The combat system-of-systems (CSoSs) in high-tech information warfare, composed of different types of combat systems connected through multiple interconnections, can be abstracted as a type of complex heterogeneous network. Research on the disintegration of the operational capability of a heterogeneous combat network (HCN) is of significant military value for optimizing the planning of operation process and improving network survivability in a complex electromagnetic battlefield. Accordingly, this paper presents an integrated framework called HCN operational capability disintegration based on link prediction (OCDLP) for modeling and solving the disintegration problem regarding the operational capability of an HCN. More specifically, a heterogeneous network model of a combat network under incomplete information is first established, considering different types of functional entities and information flows. Based on this model, a link prediction model is then applied to recover the original combat network structure while taking advantage of the observed information. Next, a disintegration evaluation metric of the operational capability of an HCN is elicited to evaluate the attack efficiency after a link prediction. Last, the reliability and effectiveness of the OCDLP are illustrated through a case study. The results provide useful insight into the operation guidance and design of a more resilient CSoSs.
Year
DOI
Venue
2020
10.1109/TSMC.2018.2867532
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Keywords
DocType
Volume
Disintegration,heterogeneous combat networks (HCNs),incomplete information,operational capability
Journal
50
Issue
ISSN
Citations 
12
2168-2216
2
PageRank 
References 
Authors
0.38
0
5
Name
Order
Citations
PageRank
Jichao Li143.78
Danling Zhao222.07
Bingfeng Ge34611.25
Jiang Jiang4339.22
Ke-wei Yang519322.65