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An Efficient and Minimum Sensitivity Cost Negotiation Strategy in Automated Trust Negotiation

机译:自动信任谈判中的有效和最小敏感性谈判策略

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Traditional security model, where the identity of all possible requesting subjects must be pre-registered in advance, is not suitable for the distributed applications with strong real-time requirements. A promising approach is represented by automated trust negotiation, which establishes trust between strangers through the exchange of digital credentials and the use of access control policies. As the credentials contain sensitive information, entities disclose credentials circumspectly. Given multiple credential exchange sequences achieving the same result, it is desirable to pick the sequence that discloses a set of minimum sensitive credentials. In this paper, we model the policies participating trust negotiation as a Negotiation Petri Net and propose a trust negotiation MSC strategy, which works by the characteristics of Negotiation Petri Net architecture, the behaviors of auto trust negotiation and the greedy algorithm. We prove that the MSC strategy is complete, efficient and mini-sensitivity cost. It also makes sure that no irrelevant credentials will be disclosed during negotiations.
机译:传统安全模型,必须提前预先注册所有可能的请求科目的身份,不适合具有强大实时要求的分布式应用。有希望的方法是由自动信任协商代表,通过交换数字凭据和使用访问控制策略,这在陌生人之间建立了信任。由于凭证包含敏感信息,因此实体需要披露凭证。考虑到实现相同结果的多个凭证交换序列,期望选择公开一组最小敏感凭证的序列。在本文中,我们将参与信托谈判作为谈判谈判的政策,并提出了一个信任谈判MSC战略,该战略是通过谈判Petri网络建筑,汽车信任谈判的行为以及贪婪算法的特点。我们证明了MSC策略是完整,高效和迷你敏感性的成本。它还确保在谈判期间不会披露无关的凭证。

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