面向普适环境的自适应初始信任和需求感知安全资源发现(AID-SRD)模型

Md. Endadul Hoque, F. Rahman, Sheikh Iqbal Ahamed
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引用次数: 5

摘要

传统的计算机系统和小型分布式网络依靠用户身份验证来提供安全性。然而,这种策略对于用户频繁加入和离开的普遍环境的灵活性增加是非常不足的。在这里,用户希望动态地发现服务并安全地共享它们,同时考虑到一些约束,例如有限的计算能力和分散的管理。在本文中,我们提出了一个使用安全资源发现模型的解决方案。由于初始信任的分配是一个关键问题,以往的资源发现研究大多假设初始信任值是恒定的。即使在普及的智能空间中,一些服务共享也可能需要高安全性。因此,需要在初始信任分配中纳入服务安全级别。本文提出了一种适用于普适环境的自适应初始信任和需求感知安全资源发现模型。我们在艾滋病- srd中加入了一个需求单元,使未知设备能够有效地共享资源。AIDSRD还考虑到不同服务的不同安全需求,分配初始信任。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Adaptive Initial Trust and Demand Aware Secure Resource Discovery (AID-SRD) model for pervasive environments
Traditional computer systems and small distributed networks rely on users' authentication to provide security. However, this strategy is extremely inadequate for the increased flexibility of pervasive environments, where users join and leave frequently. Here, users want to discover services dynamically and share them safely taking into account some constraints such as limited computational power and decentralized management. In this paper, we propose a solution to this using a secure resource discovery model. Most of the prior research works on resource discovery assume a constant initial trust value because assignment of initial trust is a critical issue. Even in pervasive smart space, some service sharing may need high security. The level of service security therefore needs to be incorporated in initial trust assignment. In this paper, we present an Adaptive Initial trust and Demand aware Secure Resource Discovery (AID-SRD) model for pervasive environment. We incorporate a Demand Unit in AID-SRD which enables efficient resource sharing with unknown devices. AIDSRD also assigns initial trust considering the variable security need of different services.
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