Abstract
This paper mainly aims to explore an more efficient way to apply the dynamic platform defense technology in network defense. To this end, a dynamic platform defense evolutionary game model is proposed to meet the actual network condition of incomplete information and limit computing resource. Combined with the flexibility of field-programmable gate array and the stable convergence of the solution space of typical evolutionary game, a set of dynamic defense strategies are designed. And a selection algorithm is presented to realize the refinement of the defense strategy. The validity and applicability of the dynamic evolution model and the dynamic defense strategy selection algorithm are verified. Experimental results show that the proposed strategy and algorithm can adaptively select the optimal defense strategy under the condition of limited resources, and the defense effect improves 43%-67% compared with the traditional dynamic defense algorithm.
Published Version
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