Research On Attack Scenario Generation Technology For Attack Resistance Test

Attack resistance test(ART)is a newly emerging technology of network security assessment. It simulates the probable network attack which aims at the target system in practical circumstances,and through this way ART tests and assesses the target system's functional capacity of keeping security.Attack scenario generation is an important technology of the ART field.The research on it aims at solving the problem of how to arrange and organize the network attack,and how to generate practical attack scenarios for attack resistance tests.The paper centers on the research of attack scenario generation technology for ART.The research work mentioned in this paper is mainly about:1)Based on the analysis of network attack process and ART attack scenario generation process,it analyzes and researches into the characteristic,attribute,rules,relevancy and consecution of attack behaviors.2)Builds a frame of attack scenario generation for ART,defined the contents of attack scenario for ART3)It classifies attack behavior via multi-property classification.According to the ART Oriented classification result,it extracts the structured ART_AK(Multi Property Classification based-Attack Knowledge)and builds a ART_AKB(Multi Property Classification based-Attack Knowledge Base).4)It analyzes various attacks modeling.Based on the content and structure of ART_AK and ART_AKB,it builds a ART_AM(Attack Model Oriented to Attack Resistance Test),and it demonstrates the model of attacks with ART_ARG(Attack Relation Graph Oriented to Attack Resistance Test)5)To solve the problem of how to serialize and optimize the ART attack scenario,and based on the theories of mathematical programming algorithm,it presents a algorithm for ART_ARG.programming6)Based on the theoretical achievements of attack scenario generation for ART,it builds a attack scenario generation system,and reaches the final research goal -computer generates attack scenario according to the requirement of ART automatically...