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中文摘要：
云计算环境下,传统的身份认证技术表现出一定的缺陷,为了遏制不可信用户的入侵行为,本文结合传统的身份认证和行为认证,论述了云计算环境下的用户行为认证机制.建立了用户行为认证集,论述了整个机制的实现过程.建立了预测用户行为认证等级的贝叶斯网络模型,并结合历史和实时用户行为信息实现对用户行为认证等级的预测.通过实例分析论证了预测模型的有效性.论文理论分析表明该研究对增强用户认证,有效遏制不可信用户的入侵行为具有重要的理论和实际指导意义.
英文摘要：
The traditional authentication technology showed some deficiencies in cloud computing, in order to decrease intrusion of untrustworthy user, this paper discusses a scheme for user behavior authentication in cloud computing environment which combines traditional authentication and behavior authentication. The paper presents the creation of the user behavior authentication set. The paper presents the realization process of the whole mechanism. The paper proposes Bayesian network model to predict the level of user behavior authentication based on the combination of the evidence of past transaction and real-time user behavior information. We give an example to demonstrate the effectiveness of the prediction model. This research is of theoretically and practically significant for enhancing user authentication and decreasing intrusion of untrustworthy user effectively.
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