Important Object Recognition Method for C⁴ISR System Based on Operation Traffic Mining

Authors

Zhou Fang, The Information System Important Laboratory of the 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;
Chu Wei, The Information System Important Laboratory of the 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;
Wendi Cheng, The Information System Important Laboratory of the 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China;

Abstract

Abstract: Considering the problem of vital object recognition for C⁴ISR system under confrontation condition, a vital object recognition method based on operation traffic mining is proposed. The system operation traffics are collected, the operation data packet describing model is established based on six attribute group described method. The operation traffic association matrix and connectivity matrix are built based on the source IP and destination IP address on data packet. The inflow and outflow operation traffics about system node are counted, and the system vital computation model is established based on statistical traffics as the measurement criteria of system object importance. Some area air defense operation command system is taken under simulation experiment environment, and the vital system object test verification is carried out. The test result shows that the vital object identification method can efficiently identify important object. Compared with the traditional method, the new method can avoid the problem of vital object identification failure brought by incomplete information.

Recommended Citation

Fang, Zhou; Wei, Chu; and Cheng, Wendi (2019) "Important Object Recognition Method for C⁴ISR System Based on Operation Traffic Mining," Journal of System Simulation: Vol. 30: Iss. 4, Article 38.
DOI: 10.16182/j.issn1004731x.joss.201804038
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/38

First Page

1520

Revised Date

2016-08-18

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201804038

Last Page

1527

CLC

TP391

Recommended Citation

Zhou Fang, Chu Wei, Cheng Wendi. Important Object Recognition Method for C⁴ISR System Based on Operation Traffic Mining[J]. Journal of System Simulation, 2018, 30(4): 1520-1527.

DOI

10.16182/j.issn1004731x.joss.201804038