Policy-Aware Service Composition in Sensor Networks

Raheleh Dimaghani, S. Geyik, Keith Grueneberg, Jorge Lobo, S. Y. Shah, B. Szymanski, P. Zerfos
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引用次数: 13

Abstract

Sensor applications are typically composed of a number of functional components that run distributedly on the nodes of a sensor network, communicating and interacting with one another. Service composition is emerging as a viable approach towards the automatic synthesis of such sensor applications. However, for service composition to be practical, it has to comply with policies that define security and management constraints on the use of these service components and the interconnections amongst them. Prior research efforts have primarily focused on efficient evaluation of security policies during the composition process, which is not sufficient when generic network management constraints need to be expressed and evaluated. In this work, we propose a policy model and evaluation approach that enables us to define and check attribute-based policies, for controlling the sensor service composition process. Attribute-based policies are generic and allows us to express a wider spectrum of constraints than currently possible. Using this model and based on a previously-proposed sensor service composition algorithm, we introduce a policy evaluation method that allows for efficient checking of policy constraints. We further present a novel implementation of the proposed approach in the IBM Sensor Fabric, a middleware framework that simplifies the development of distributed, sensor network services. We also present preliminary performance evaluation results using our prototype.
传感器网络中策略感知的服务组合
传感器应用程序通常由许多功能组件组成,这些组件分布在传感器网络的节点上,彼此通信和交互。服务组合正在成为自动合成此类传感器应用的可行方法。然而,为了使服务组合具有实用性,它必须遵守对这些服务组件的使用以及它们之间的互连定义安全和管理约束的策略。先前的研究工作主要集中在组合过程中安全策略的有效评估,当需要表达和评估通用网络管理约束时,这是不够的。在这项工作中,我们提出了一种策略模型和评估方法,使我们能够定义和检查基于属性的策略,以控制传感器服务组合过程。基于属性的策略是通用的,并且允许我们表达比当前可能的更广泛的约束。利用该模型并基于先前提出的传感器服务组合算法,我们引入了一种策略评估方法,该方法允许有效检查策略约束。我们进一步在IBM传感器结构中提出了一种新的实现方法,这是一种中间件框架,可以简化分布式传感器网络服务的开发。我们还介绍了使用我们的原型的初步性能评估结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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