一种新的“云上”联邦身份管理动态信任模型

Keltoum Bendiab, S. Shiaeles, Samia Boucherkha
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引用次数: 7

摘要

随着基于云的服务的激增,联邦身份管理(FIM)近年来获得了相当大的关注。它被认为是一种很有前途的方法,可以促进云中的协作伙伴之间的安全资源共享。然而,目前的FIM框架(如OpenID、SAML、Liberty Alliance、Shibboleth和WS-Federation)没有定义一个合适的信任模型来允许动态和敏捷的联邦建立。因此,它们不能部署在像云计算这样的动态开放环境中。在本文中,我们通过提出一个满足云需求的新的动态信任模型来解决这个问题。该模型将模糊认知图(FCM)理论引入到FIM系统中未知实体可信度的建模和评估中。
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A New Dynamic Trust Model for "On Cloud" Federated Identity Management
With the proliferation of Cloud-based services, Federated Identity Management (FIM) has gained considerable attention in recent years. It is considered as a promising approach to facilitate secure resource sharing between collaborating partners in the Cloud. However, current FIM frameworks such as OpenID, SAML, Liberty Alliance, Shibboleth and WS-Federation do not define a suitable trust model to allow dynamic and agile federation establishment. Hence, they cannot be deployed in dynamic and open environments like Cloud Computing. In this paper, we address this issue by presenting a new dynamic trust model that fulfils Cloud requirements. The proposed model introduces the theory of Fuzzy Cognitive Maps (FCM) into modelling and evaluating unknown entities trustworthiness in FIM systems.
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