基于信誉系统的聚合属性信任评估框架

A. Mohan, D. Blough
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引用次数: 27

摘要

要启用丰富的基于属性的授权系统,需要有大量可用的用户属性,这些属性可能由多个实体提供。用户可能需要聚合其属性并将其呈现给服务提供者,以证明他有权访问某些服务。在本文中,我们提出了AttributeTrust——一个基于策略的隐私增强框架,用于聚合用户属性并评估这些属性的置信度。我们设想在未来,属性提供程序将变得司空见惯,服务提供程序将面临在多个可以提供相同用户属性的属性提供程序中选择一个的问题。在AttributeTrust中,我们通过基于可传递信任的声誉系统模型来解决这个问题。实体表示对其他实体的信任,以提供受信任的属性,形成从服务提供者到不同属性提供者的链。服务提供者使用此传递声誉来决定是否接受来自特定属性提供者的特定属性。我们讨论AttributeTrust模型如何防止对信誉系统的常见攻击。AttributeTrust与当前方法的不同之处在于,它的抗攻击能力来自于其特定的属性配置上下文、投票机制的制定以及其信任关系的独特属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AttributeTrust A Framework for Evaluating Trust in Aggregated Attributes via a Reputation System
To enable a rich attribute-based authorization system, it is desirable that a large number of user attributes are available, possibly provided by multiple entities. The user may be required to aggregate his attributes and present them to a service provider to prove he has the right to access some service. In this paper, we present AttributeTrust - a policy-based privacy enhanced framework for aggregating user attributes and evaluating confidence in these attributes. We envision a future where attribute providers will be commonplace and service providers will face the problem of choosing one among multiple attribute providers that can provide the same user attribute. In AttributeTrust, we address this problem by means of a reputation system model based on transitive trust. Entities express confidence in other entities to supply trusted attributes, forming chains from a service provider to different attribute providers. A service provider uses this transitive reputation to decide whether to accept a particular attribute from a specific attribute provider.We discuss how the AttributeTrust model prevents common attacks on reputation systems. AttributeTrust differs from the current approaches by deriving its attack resistance from its specific context of attribute provisioning, its voting mechanism formulation, and unique properties of its confidence relationships.
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