An Approach to Network Attack Model Based on Both-Branch Fuzzy Petri Net

摘要：

Fuzzy attack net (FAN) is expanded based on bothbranch fuzzy set, a new kind of attack model BBFAN (Bothbranch Fuzzy Attack Net), which is based on fuzzy Petri net and both-branch fuzzy set, is proposed; the natures and characteristics of BBFAN is discussed; the decomposing algorithm, the minimum cut place set algorithm, the deducing algorithm and the inverse deducing algorithm are given. The new model can synthetically analyze positively facilitating and negatively restraining factors in network attack from pro and con aspects, it expands application fields of both-branch fuzzy set and draws close to the reality of network attack description.

关键词： fuzzy Petri net both-branch fuzzy set attack model fuzzy attack net

作者: HUANG Guangqiu REN Dayong

作者单位: School of Management Xian University of Architecture & Technology Xian, Shaanxi Province 710055, China

会议类型: 国际会议

会议名称: 第二届国际计算机新科技与教育学术会议(Proceedings of the Second International Conference on Computer Science & Education ICCSE2007)

会议地点: 武汉

会议语种:英文

页码: 1327-1331

在线出版日期: 2007-07-25（万方平台首次上网日期，不代表论文的发表时间）