| Title | Structure adjustment of early warning information system based on timeliness |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Qin, Yishuai, Xiao, Bing, Li, Yaodong, Yu, Jintao |
| Conference Name | 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) |
| Keywords | Analytical models, complex network, composability, compositionality, early warning information system, encoding, genetic algorithms, Human Behavior, Indexes, information assurance, information technology, Metrics, pubcrawl, resilience, Resiliency, SAGA, simulated annealing, simulation, structural adjustment, timeliness |
| Abstract | Aimed at the high requirement of timeliness in the process of information assurance, this paper describes the average time delay of information transmission in the system, and designs a timeliness index that can quantitatively describe the ability of early warning information assurance. In response to the problem that system capability cannot meet operational requirements due to enemy attacks, this paper analyzes the structure of the early warning information system, Early warning information complex network model is established, based on the timeliness index, a genetic algorithm based on simulated annealing with special chromosome coding is proposed.the algorithm is used to adjust the network model structure, the ability of early warning information assurance has been improved. Finally, the simulation results show the effectiveness of the proposed method. |
| DOI | 10.1109/IAEAC50856.2021.9390756 |
| Citation Key | qin_structure_2021 |
Structure adjustment of early warning information system based on timeliness