A Socio-cognitive Approach to Modeling Policies in Open Environments

T. Ryutov
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引用次数: 9

Abstract

The richness of today's electronic communications mirrors physical world: activities such as shopping, business and scientific collaboration are conducted online. Current interactions have become a form of social exchange where participants must deal with complexity, uncertainty and risk. We propose a policy specification approach that combines social sciences and trust theory to facilitate ad-hoc interactions of self-interested parties in open environments. Our socio-cognitive approach allows us to reason about uncertainty and risk involved in a transaction, and automatically calculate the minimum trust threshold needed to mitigate the vulnerabilities. The trust threshold comprises the core of security policies that govern the interactions. The threshold calculation is based on balancing objective and subjective trust components, which together predict that a transaction will result in an acceptable outcome. We propose to apply the prospect theory (D. Kahneman and A. Tversky, 1979) to specify policies that determine a set of acceptable outcomes. We present the trust threshold negotiation primitives.
开放环境中政策建模的社会认知方法
当今电子通信的丰富性反映了现实世界:购物、商业和科学合作等活动都是在网上进行的。当前的互动已经成为一种社会交换形式,参与者必须应对复杂性、不确定性和风险。我们提出了一种结合社会科学和信任理论的政策规范方法,以促进开放环境中自利各方的特设互动。我们的社会认知方法使我们能够推断交易中涉及的不确定性和风险,并自动计算减少漏洞所需的最小信任阈值。信任阈值包含控制交互的安全策略的核心。阈值计算基于平衡客观和主观信任成分,它们共同预测交易将产生可接受的结果。我们建议应用前景理论(D. Kahneman和a . Tversky, 1979)来指定确定一组可接受结果的政策。提出了信任阈值协商原语。
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