Method for Network Security Reinforcement Based on GSCPN Model

Authors

Gao Xiang, 1. The Department of Information Operation & Command Training, NDU of PLA, Beijing 100091, China;;2. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450002, China;
Liu Yang, 1. The Department of Information Operation & Command Training, NDU of PLA, Beijing 100091, China;;
Xiaoyuan He, 1. The Department of Information Operation & Command Training, NDU of PLA, Beijing 100091, China;;

Abstract

Abstract: In order to improve the security of networks in whole, a method of making strategies for the network security reinforcement based on Generalized Stochastic Colored Petri Net was proposed. The concepts of host node utilization index and host node key degree were introduced, which enabled the vulnerable nodes that needed repairing sorted by the value of host node key degree. On this basis, security level of the target network was increased by the reinforcement according to the principle of maximum node key degree first. The network instance further validates that the proposed method for network security reinforcement is effective, and the operability is better than traditional methods.

Recommended Citation

Xiang, Gao; Yang, Liu; and He, Xiaoyuan (2020) "Method for Network Security Reinforcement Based on GSCPN Model," Journal of System Simulation: Vol. 28: Iss. 5, Article 3.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss5/3

First Page

1009

Revised Date

2016-04-20

DOI Link

https://doi.org/

Last Page

1016

CLC

TP301

Recommended Citation

Gao Xiang, Liu Yang, He Xiaoyuan. Method for Network Security Reinforcement Based on GSCPN Model[J]. Journal of System Simulation, 2016, 28(5): 1009-1016.