Science & Technology Review
|
2019, 37(13): 40-46
• Exclusive: System of Systems Engineering •
A method for SoS flow vulnerability analysis based on information entropy
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WEI Zhengxian1,2, SONG Min3, TONG Pengpeng4, WANG Hongbin4
Affiliations
1. Marine Security System Innovation Center of Science and Technology for National Defense, Beijing 100036, China;
2. Pilot National Laboratory for Marine Science and Technology, Qingdao 266011, China;
3. Information Technology Center, Beijing Foreign Studies University, Beijing 100089, China;
4. College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China
Published: 2019-07-13
doi: 10.3981/j.issn.1000-7857.2019.13.005
Outline
When the system-of-systems (SoS) carries out its missions, it faces various risks of destruction, interference or threat from outside and inside. SoS flow vulnerability is expressed as the degree of impact of mission execution efficiency when a risk event occurs on the SoS flow. In this paper, a method for SoS flow vulnerability analysis based on information entropy is proposed. Firstly, for the risk events and flow structure characteristics, a vulnerability analysis process model is established. Secondly, the SoS flow is transformed into a directed graph model, and a vulnerability calculation model of node in the SoS flow is put forward based on information entropy. Thirdly, the directed graph model of complex SoS flow is decomposed and further simplified to three basic structures:series structure, parallel structure and combination structure, and vulnerability calculation models of these basic structures are also built. Finally, the SoS flow vulnerability can be calculated through the above process. A case study demonstrates the effectiveness of the proposed method.
information entropy
/
SoS flow
/
vulnerability analysis
韦正现, 宋敏, 童鹏鹏, 王红滨.
一种基于信息熵的体系流程脆弱性分析方法.
科技导报,
2019
, 37
(13)
: 40
-46
.
DOI: 10.3981/j.issn.1000-7857.2019.13.005
WEI Zhengxian, SONG Min, TONG Pengpeng, WANG Hongbin.
A method for SoS flow vulnerability analysis based on information entropy[J].
Science & Technology Review,
2019
, 37
(13)
: 40
-46
.
DOI: 10.3981/j.issn.1000-7857.2019.13.005
Year 2019 volume 37 Issue 13
PDF
471
65
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2019.13.005
- Receive Date:2019-01-22
- Online Date:2019-09-05
- Published:2019-07-13