Journal of Xidian University ›› 2022, Vol. 49 ›› Issue (2): 116-124.doi: 10.19665/j.issn1001-2400.2022.02.014

• Information and Communications Engineering • Previous Articles     Next Articles

Invulnerability measurement for the C4ISR network based on information flow betweenness centrality distribution entropy

YU Changren1,2(),JIA Lianxing1(),ZHANG Bin1()   

  1. 1. College of Information and Communication,National University of Defense Technology,Wuhan 430010,China
    2. Department of Defense Economics,Army Logistical University of PLA,Chongqing 401331,China
  • Received:2020-08-03 Online:2022-04-20 Published:2022-05-31

Abstract:

Currently,many researches on invulnerability focus on statistical analysis of the network structure which is not suitable for the C4ISR network with specific functions.In view of this problem,this paper proposes “information flow intermediate number centrality distribution entropy” to measure the invulnerability of the C4ISR network.It goes from the perspective of the function of information flow and uses the theory of “intermediate number centrality of complex networks” and “information entropy”.The shortest information path from reconnaissance node to attack node is regarded as an operational information chain,and the “information flow intermediate number centrality ” is proposed to measure the number of operational information chains passing through a node in the C4ISR network.The uniformity of information flow intermediate number centrality is measured by “information flow intermediate number centrality distribution entropy”,and the effectiveness of this index is analyzed which can reflect the invulnerability of the C4ISR network function.Based on a representative C4ISR network structure,the invulnerability of the network after random attack,degree attack,intermediate number centrality attack and information flow attack is simulated,with the application of information flow intermediate number centrality distribution entropy in improving the invulnerability of C4ISR network functions also analyzed.Simulation results show that this indicator is more sensitive and accurate than structural invulnerability indicators such as average network efficiency of complex networks,natural connectivity,degree distribution entropy,intermediate number centrality distribution entropy,and so on and that it can find the critical point of C4ISR network function failure,and can provide guidance for improving the functional invulnerability of the C4ISR network.

Key words: information flow, betweenness centrality, entropy, complex networks, C4ISR, invulnerability

CLC Number: 

  • E917