| Title | A Selection Strategy for Network Security Defense Based on a Time Game Model |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Sun, Pengyu, Zhang, Hengwei, Ma, Junqiang, Li, Chenwei, Mi, Yan, Wang, Jindong |
| Conference Name | 2021 International Conference on Digital Society and Intelligent Systems (DSInS) |
| Date Published | dec |
| Keywords | Analytical models, Computing Theory, Games, Heuristic algorithms, Infectious Disease Model, Metrics, Nash equilibrium, network defense, Network security, numerical simulation, Optimal Defense Strategy, pubcrawl, Real-time Systems, security, time game |
| Abstract | Current network assessment models often ignore the impact of attack-defense timing on network security, making it difficult to characterize the dynamic game of attack-defense effectively. To effectively manage the network security risks and reduce potential losses, in this article, we propose a selection strategy for network defense based on a time game model. By analyzing the attack-defense status by analogy with the SIR infectious disease model, construction of an optimal defense strategy model based on time game, and calculation of the Nash equilibrium of the the attacker and the defender under different strategies, we can determine an optimal defense strategy. With the Matlab simulation, this strategy is verified to be effective. |
| DOI | 10.1109/DSInS54396.2021.9670626 |
| Citation Key | sun_selection_2021 |
A Selection Strategy for Network Security Defense Based on a Time Game Model