Modeling and Analysis of Information Theft Trojan Based on Stochastic Game Nets

Min Yu, Chao Liu, Xinliang Qiu, Shuang Zhao, Kunying Liu, Bo Hu
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Abstract

In the paper, we modelling for information theft Trojan based on Stochastic Game Nets (SGN), a novel modelling method which good at multirole game problem described, and has been applied in many fields of networks with interactive behaviors. Combination the SGN and practical problem, we present an algorithm for solving the equilibrium strategy to computer the model of SGN. Finally we analyse our research paper with some indicators, such as the probability of a successful theft and the average time of a successful theft. The results of the paper can also offer some consultations for user.
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基于随机博弈网的信息盗窃木马建模与分析
本文基于随机博弈网络(SGN)对信息盗窃木马进行建模,这是一种善于描述多角色博弈问题的新颖建模方法,已在具有交互行为的网络的许多领域得到了应用。结合SGN和实际问题,提出了一种求解SGN计算机模型均衡策略的算法。最后,我们用一些指标来分析我们的研究论文,如盗窃成功的概率和盗窃成功的平均时间。本文的研究结果也可以为用户提供一些参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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