Method for selecting moving target defense optimal strategy based on DS evidence reasoning

Abstract

The invention discloses a method for selecting a moving target defense optimal strategy based on DS evidence reasoning. The method comprises the following steps: establishing an attack and defense game model; enabling an attacker to select an attack strategy; enabling a defender to observe the attack strategy, and enabling the attacker and the defender to calculate benefits; refining Bayesian equilibrium solution to obtain an optimal defense strategy; and enabling the defender to correct the type posterior probability of the attacker through DS evidence reasoning. The establishment of the attack and defense game model comprises the steps of defining the attack and defense game model; defining attack and defense revenue quantification. The income calculation step of the attacker and the defender comprises the steps that the defender calculates a posterior probability according to an observed attack strategy; the attacking and defending parties calculate respective revenues; an attack type reasoning decision table is formed according to the characteristic attributes of the previous attack records; and a basic probability assignment of the attack evidence is determined according to the decision table. According to the method, the defect of the prior probability in the existing model is overcome, the profit of the defense strategy is more reasonable, and the defense success rate ofthe early stage of the system is improved.

Description

technical field [0001] The invention should belong to the field of network security and information security, mainly studies the selection of the optimal defense strategy for moving targets, and proposes a method for selecting the optimal defense strategy for moving targets based on DS evidence reasoning. Background technique [0002] Most of the existing optimal strategies for moving target defense are based on dynamic games with incomplete information to establish offensive and defensive game models. In this type of model, the prior probability of the defender to the attacker type is usually specified based on experience or belief, which is highly subjective. As a result, the posterior probability of the defender and the calculation of the defense strategy income will be affected, resulting in a decrease in the defense success rate of the defense system in the early stage. Therefore, this paper proposes a dynamic game model of incomplete information based on D-S evidence r...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem of selecting the optimal defense strategy in the moving target defense system, the present i

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