First passage time and first passage percolation models for analysing network resilience and effective strategies in strategic information warfare research:a brief survey and perspective
文献类型：期刊论文
| 作者 | Ma ZS[*]1,2 |
| 刊名 | Int. J. Information and Computer Security
 |
| 出版日期 | 2013 |
| 卷号 | 5期号:4页码:334-358 |
| 关键词 | first passage time FPT first passage percolation FPP percolation theory random graphs Fokker-Planck equation network security network resilience strategic information warfare SIW |
| 通讯作者 | ma@vandals.uidaho.edu |
| 英文摘要 | We argue for the applications of first passage time (FPT) and first passage percolation (FPP) problems to the modelling and analysis of network resilience as well as effective strategies in strategic information warfare (SIW). Several intuitive arguments can be readily made to justify our attempt. First, winning a confrontation can be abstracted as an FPT or FPP problem. Secondly, information warfare is very similar to the directed percolation. Thirdly, three essential metrics in the FPP theory, percolation critical probability (P c ), first passage percolation time, and shape set B(t) can be mapped to the probability to win (or lose) the war, network resilience, and effective strike range, respectively. Fourthly, non-linearity is prevalent in SIW; percolation theory, and complexity science in large, are particularly effective in tackling this critical issue. To the best of our knowledge, this should be the first review on applying FPT and FPP theories to the SIW research. |
| 资助信息 | This research has received funding from the following funding sources: National Natural Science Foundation of China (Grant No. 61175071), ‘The One Hundred-PI (Principal Investigator) Plan for the Exceptional Talents in Science & Technology’ of the Chinese Academy of Sciences (CAS), ‘The State Key Laboratory of Genetic Resources and Evolution of China’, ‘The Top Talents Program in Science and Technology of Yunnan Province’, and ‘Innovative Research Initiative of the Synergy between Natural Evolution and Computational Evolution’ of CAS-Yunan Province. |
| 语种 | 英语 |
| 源URL | [http://159.226.149.26:8080/handle/152453/9396]  |
| 专题 | 昆明动物研究所_计算生物与生物信息学 昆明动物研究所_遗传资源与进化国家重点实验室 |
| 作者单位 | 1.Computational Biology and Medical Ecology Lab,State Key Laboratory of Genetic Resources and Evolution,Kunming Institute of Zoology, 2.Department of Computer Science,Institute of Bioinformatics and Evolutionary Studies,University of Idaho,USA |
| 推荐引用方式 GB/T 7714 | Ma ZS[*]. First passage time and first passage percolation models for analysing network resilience and effective strategies in strategic information warfare research:a brief survey and perspective[J]. Int. J. Information and Computer Security,2013,5(4):334-358. |
| APA | Ma ZS[*].(2013).First passage time and first passage percolation models for analysing network resilience and effective strategies in strategic information warfare research:a brief survey and perspective.Int. J. Information and Computer Security,5(4),334-358. |
| MLA | Ma ZS[*]."First passage time and first passage percolation models for analysing network resilience and effective strategies in strategic information warfare research:a brief survey and perspective".Int. J. Information and Computer Security 5.4(2013):334-358. |
入库方式： OAI收割
来源：昆明动物研究所
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