基于双极信息和模糊Petri网的网络系统攻防推理算法  

On Reasoning Algorithm of Network Attack and Defense Based on Bipolar Information and Fuzzy Petri Net

作　　者：陈甜甜[1] 张家录[1] 

机构地区：[1]湘南学院数学与金融学院,湖南郴州423000

出　　处：《湘南学院学报》2017年第2期51-57,共7页Journal of Xiangnan University

基　　金：湘南学院科研基金项目(2012YY38)

摘　　要：以双极信息理论和模糊Petri网(FPN)为基础,综合分析与考虑网络系统的攻击和防御因素,建立一种新的网络系统攻防演变模型BIFPAN.该模型用库所表示系统所处的状态,变迁表示系统受到攻击和采取防御行为的过程,从而使得网络攻击和防御情况的演变得到直观地表示,并给出了BIFPAN模型的双极推理规则和双极推理算法,并通过实例验证算法的有效性.Based on bipolar information and Fuzzy Petri Net( FPN),by integrally analyzing attack and defense factors,a new network attack model named Bipolar Information Petri-net Attack Net( BIFPAN) is put forward. In BIFPAN,the system state is depicted as the place of FPN while the process of attack and defense actions is depicted as the transition,thus the changes of network state by attacked and defense can be represented directly. On basis of these,the basic reasoning rules and algorithm are proposed in BIFPAN,and the effectiveness of the algorithm is verified by examples.

关 键 词：双极信息 模糊PETRI网 攻击因素 防御因素 推理算法 

分 类 号：O159[理学—数学]