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首页> 外文期刊>IEEE systems journal >SeCoMan: A Semantic-Aware Policy Framework for Developing Privacy-Preserving and Context-Aware Smart Applications
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SeCoMan: A Semantic-Aware Policy Framework for Developing Privacy-Preserving and Context-Aware Smart Applications

机译:SeCoMan:用于开发保护隐私和上下文感知的智能应用程序的语义感知策略框架

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摘要

This paper is intended to provide a solution for developing context-aware smart applications preserving the users' privacy in the Internet of Things (IoT). In this sense, we present a framework called Semantic Web-based Context Management (SeCoMan) aimed at offering a set of predefined queries to provide applications with information about indoor location of users and objects, as well as context-aware services. SeCoMan uses a semantic-oriented IoT vision where semantic technologies play a key role. In fact, SeCoMan uses Semantic Web for modeling description of things, reasoning over data to infer new knowledge, and defining context-aware policies. SeCoMan also defines a layered architecture, including functions related to the management of the users' privacy in a manner that accommodate IoT requirements, in addition to not affecting system performance nor introducing excessive overheads. A thorough discussion on other related works, together with some experiments to measure the throughput and scalability, confirm that SeCoMan is a solution that improves the most relevant proposals existing so far.
机译:本文旨在提供一种解决方案,以开发可感知上下文的智能应用程序,从而在物联网(IoT)中保护用户的隐私。从这个意义上讲,我们提出了一个名为基于语义Web的上下文管理(SeCoMan)框架,旨在提供一组预定义的查询,以向应用程序提供有关用户和对象在室内的位置以及上下文感知服务的信息。 SeCoMan使用面向语义的IoT愿景,其中语义技术起着关键作用。实际上,SeCoMan使用语义网对事物的描述进行建模,对数据进行推理以推断出新知识并定义上下文感知策略。 SeCoMan还定义了一个分层体系结构,除了以不影响系统性能或引入过多开销的方式外,还以适应IoT要求的方式包括与用户隐私管理相关的功能。通过对其他相关工作的全面讨论,以及用于测量吞吐量和可伸缩性的一些实验,证实了SeCoMan是一种解决方案,可以改进迄今为止存在的最相关的建议。

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