An Attack Model Based On Both-Branch Fuzzy Sets And Fuzzy Petri Net

As the developing of the attack and defend technology,attack and defend also become two sides that closely related of network security.Further investigate, attack theory and technology can protect network security of information system effectively.It is a key problem studied about that understanding and description to the network attacks.Attack models can help in describing and analyzing the course of attack structurally and pictorially,facilitate analyzing and utilizing the known attack,further more that can help in improving the efficiency of attacking measuring and security prediction.Based on both-branch fuzzy sets and fuzzy Petri net(FPN),the network attack with the promoting and suppressive factors will be researched in this article and the promoting and suppressive factors are analyzed together.A series of qualitative and quantitative approach to network attack are put forward.At the beginning,based on both-branch fuzzy decision-making and FPN,a new network attack model named both-branch fuzzy Petri-net attack net(BBFPAN)is put forward.Through the both-branch fuzzy decision-making analysis to the factors of input place set,a reasoning algorithm is proposed which applies incertitude consequence way.For another,delved into the both-branch fuzzy sets and set pair analysis,more levels set pair within the BBFPAN based on the both-branch fuzzy sets can be discovered.A both-branch set pair analysis about BBFPAN is put forward which originally applies set pair analysis into the attack modeling.After this problem,based on the both-branch fuzzy logic,the basic inference rules about BBFPAN are put forward.A reasoning algorithm is proposed which use the basic inference rules and it can enrich the reasoning method of the attack model BBFPAN.At last,the lack of learning mechanism is the weakness of the fuzzy systems and is also the weakness to the new network attack model BBFPAN based on the fuzzy Petri net.We have done some preliminary exploratory research to the lack.A delaminating algorithm which can partition the BBFPAN into several levels and a fuzzy reasoning algorithm are presented.This paper considers together the promoting and suppressive factors that have effect to the attacks.Kinds of qualitative and quantitative method about network attack are proposed.At the same time we have done some preliminary exploratory study about the BBFPAN using the neural network and have forecast the future further research direction.