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基于安全性量化评估的信任模型 被引量:1

Trust model based on quantitative security evaluation
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摘要 目前的电子政务和电子商务公钥基础设施(PKI)系统中,每项交易都需经过严格认证,这使系统的开销过大。针对这一问题,引入信用度、开放度、安全度等变量,采用模糊逻辑的方法对安全度进行量化计算,以此对交易的安全性进行量化评估,并依据评估结果提出了一个信任模型。对于安全度小于安全度阈值的交易,仍需进行认证;而对于安全度大于安全度阈值的交易,免于认证。模拟的数据运算表明,此模型在兼顾安全性的基础上减少了严格认证的数量。 It costs an excessive overhead that each request is strongly authenticated in e-government and e-commerce transactions. In order to reduce such an excessive overhead, a trust model based on quantitative security evaluation was developed. In the model, notions of quantifiable trust degree, open degree, and security degree for e-transactions were introduced. Using fuzzy logic inference, value of security degree for each e-transaction was evaluated. Only e-transactions that value of security degree exceed threshold of security degree need to be authenticated. Simulated data operations show that the model reduces amount of authentication under considering security.
作者 龚明 万青松
出处 《计算机应用》 CSCD 北大核心 2013年第A02期145-146,196,共3页 journal of Computer Applications
关键词 信用度 开放度 安全度 模糊逻辑推理 信任模型 trust degree open degree security degree fuzzy logic inference trust model
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