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2. Pilot National Laboratory for Marine Science and Technology, Qingdao 266011, China;
3. Information Technology Center, Beijing Foreign Studies University, Beijing 100089, China;
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2. 青岛海洋科学与技术试点国家实验室, 青岛 2660011;
3. 北京外国语大学信息技术中心, 北京 100089;
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科技导报
|专题:体系工程
2019
, 37
(13) :
40
-46
一种基于信息熵的体系流程脆弱性分析方法
全屏
韦正现1,2 , 宋敏3 , 童鹏鹏4 , 王红滨4
作者信息
1. 国防科技工业海洋安全体系创新中心, 北京 100036;
2. 青岛海洋科学与技术试点国家实验室, 青岛 2660011;
3. 北京外国语大学信息技术中心, 北京 100089;
4. 哈尔滨工程大学计算机科学与技术学院, 哈尔滨 150001
通讯作者:
宋敏(通信作者),工程师,研究方向为软件可靠性、数据库和软件体系结构,电子信箱:songmin@bfsu.edu.cn
作者简介:
韦正现,研究员,研究方向系统工程、体系工程和人工智能等,电子信箱:weizhengxian@sina.com
A method for SoS flow vulnerability analysis based on information entropy
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
出版时间: 2019-07-13
doi: 10.3981/j.issn.1000-7857.2019.13.005
文章导航
体系在执行任务过程中面临来自外部、内部的各种破坏、干扰或威胁等风险,当风险发生时体系受到影响的程度表现为体系脆弱性,体系流程的脆弱性是影响体系能否完成任务的一个重要方面。提出一种基于信息熵的体系流程脆弱性分析方法:首先,面向体系面临的风险事件及其流程结构特征建立体系流程结构脆弱性分析过程;其次,将体系流程转化为有向图模型,基于信息熵构建了体系流程中各个节点的脆弱度计算模型;最后,将复杂体系流程有向图模型简化为串联、并联和混合3种基本结构,建立了3种基本结构的脆弱度计算模型,进而即可计算体系流程的脆弱度。通过案例说明了该方法的有效性。
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
2019年第37卷第13期
PDF下载
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引用本文
BibTeX
文章信息
doi: 10.3981/j.issn.1000-7857.2019.13.005
接收时间:2019-01-22
首发时间:2019-09-05
出版时间:2019-07-13
收稿日期:2019-01-22
修回日期:2019-05-15
通讯作者:
宋敏(通信作者),工程师,研究方向为软件可靠性、数据库和软件体系结构,电子信箱:songmin@bfsu.edu.cn
https://castjournals.cast.org.cn/joweb/kjdb/CN/10.3981/j.issn.1000-7857.2019.13.005
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2种不同金属材料的力学参数
科 Family 属数 Number of genus 种数 Number of species 占总种数比例 Percentage of total species (%) 属 Genus 种数 Number of species 占总种数比例 Percentage of total species (%) 鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78 小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39 多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39 红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87 小菇属 Mycena 11 5.26 光柄菇属 Pluteus 5 2.39 红菇属 Russula 17 8.13 栓菌属 Trametes 5 2.39
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