数据集中环境下云计算中私密信息安全攻防方法

Data Set in the Cloud Computing under the Environment of Private Information Security Defense Method Research

数据集中环境下不确定性较高,当前私密信息安全攻防方法不能有效解决攻击意图和策略随机性高的问题,无法保证私密信息的安全性。为此,提出一种新的数据集中环境下云计算中私密信息安全攻防方法,将云计算平台划分成应用层、应用接口层和基础层,给出详细结构。依据博弈模型的要素,建立开放式云计算网络攻防博弈的一般模型。介绍了云计算中私密信息安全攻防收益量化的相关定义,把私密信息安全攻防对抗看作零与博弈,在某种博弈状态下,获取私密信息攻击者和私密信息防御者的期望收益函数,令攻击者期望收益最小,防御者期望收益达到最大化,以获取私密信息安全攻防双方的最佳策略。实验结果表明,所提方法能够有效保证云计算中私密信息的安全性。

The data set under environmental uncertainty is higher,the current private information security attack and defense methods cannot effectively solve the problem of high attack intention and strategy of randomness,there is no guarantee that the security of private information. For this,a new data set was put forward in the cloud computing under the environment of private information security defense method,applied cloud computing platform into the application layer,interface layer and base layer,and give the detailed structure. Based on the elements of a game model,the general model of an open cloud computing network attack and defense game was established. Private information security defense gains in cloud computing are introduced quantitative definition of the private information security defence is regarded as zero and game,in some kind of game state,access to private information of attackers and defenders private information expected revenue function,make the attacker expected return to a minimum,the defender expect profits to maximize,to obtain private information security attack and defense both sides of the optimal strategy. The experimental results show that the proposed method can effectively ensure the security of private information in the cloud.