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A Semantic-Aware Ontology-Based Trust Model for Pervasive Computing Environments

机译:面向普适计算环境的基于语义感知本体的信任模型

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摘要

Traditionally, to handle security for stand-alone computers and small networks, user authentication and access control mechanisms would be almost enough. However, considering distributed networks such as the Internet and pervasive environments, these kinds of approaches are confronted with flexibility challenges and scalability problems. This is mainly because open environments lack a central control, and users in them are not predetermined. In such ubiquitous computing environments, issues concerning security and trust become crucial. Adding trust to the existing security infrastructures would enhance the security of these environments. Although many trust models are proposed to deal with trust issues in pervasive environments, none of them considers the semantic relations exist among pervasive elements and especially among trust categories. Employing Semantic Web concepts, we propose a computational trust model based on the ontology structure, considering the mentioned semantic relations. In this model, each entity can calculate its trust in other entities and use the calculated trust values to make decisions about granting or rejecting collaborations. Using ontology structure can make the model extendible to encompass other pervasive features such as context awareness in a simple way.
机译:传统上,要处理独立计算机和小型网络的安全性,用户身份验证和访问控制机制就足够了。但是,考虑到诸如Internet和普遍环境之类的分布式网络,这些类型的方法面临灵活性挑战和可伸缩性问题。这主要是因为开放环境缺少中央控制,并且其中的用户不是预先确定的。在这种无处不在的计算环境中,与安全性和信任有关的问题变得至关重要。对现有安全基础架构增加信任将增强这些环境的安全性。尽管提出了许多信任模型来处理普适环境中的信任问题,但是没有一个模型认为普适元素之间,尤其是信任类别之间存在语义关系。考虑到语义关系,利用语义网的概念,提出了一种基于本体结构的计算信任模型。在此模型中,每个实体都可以计算其对其他实体的信任度,并使用计算出的信任度值来做出有关授予或拒绝协作的决策。使用本体结构可以使模型可扩展以涵盖其他普遍的功能,例如以简单的方式感知上下文。

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