• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues
【2h】

A Survey of Context-Aware Access Control Mechanisms for Cloud and Fog Networks: Taxonomy and Open Research Issues

机译：云和雾网络的上下文感知访问控制机制研究：分类法和开放研究问题

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Over the last few decades, the proliferation of the Internet of Things (IoT) has produced an overwhelming flow of data and services, which has shifted the access control paradigm from a fixed desktop environment to dynamic cloud environments. Fog computing is associated with a new access control paradigm to reduce the overhead costs by moving the execution of application logic from the centre of the cloud data sources to the periphery of the IoT-oriented sensor networks. Indeed, accessing information and data resources from a variety of IoT sources has been plagued with inherent problems such as data heterogeneity, privacy, security and computational overheads. This paper presents an extensive survey of security, privacy and access control research, while highlighting several specific concerns in a wide range of contextual conditions (e.g., spatial, temporal and environmental contexts) which are gaining a lot of momentum in the area of industrial sensor and cloud networks. We present different taxonomies, such as contextual conditions and authorization models, based on the key issues in this area and discuss the existing context-sensitive access control approaches to tackle the aforementioned issues. With the aim of reducing administrative and computational overheads in the IoT sensor networks, we propose a new generation of Fog-Based Context-Aware Access Control (FB-CAAC) framework, combining the benefits of the cloud, IoT and context-aware computing; and ensuring proper access control and security at the edge of the end-devices. Our goal is not only to control context-sensitive access to data resources in the cloud, but also to move the execution of an application logic from the cloud-level to an intermediary-level where necessary, through adding computational nodes at the edge of the IoT sensor network. A discussion of some open research issues pertaining to context-sensitive access control to data resources is provided, including several real-world case studies. We conclude the paper with an in-depth analysis of the research challenges that have not been adequately addressed in the literature and highlight directions for future work that has not been well aligned with currently available research.
机译：在过去的几十年中，物联网（IoT）的激增产生了压倒性的数据和服务流，从而将访问控制范式从固定桌面环境转移到了动态云环境。雾计算与新的访问控制范例相关联，以通过将应用程序逻辑的执行从云数据源的中心转移到面向IoT的传感器网络的外围来降低开销成本。确实，从各种物联网来源访问信息和数据资源一直受到诸如数据异质性，隐私，安全性和计算开销之类的内在问题的困扰。本文对安全性，隐私和访问控制研究进行了广泛的调查，同时重点介绍了在广泛的环境条件（例如空间，时间和环境环境）中的一些特定关注点，这些关注点在工业传感器领域获得了巨大的发展动力。和云网络。我们基于该领域的关键问题，提出了不同的分类法，例如上下文条件和授权模型，并讨论了解决上述问题的现有上下文相关访问控制方法。为了减少IoT传感器网络中的管理和计算开销，我们提出了新一代基于雾的上下文感知访问控制（FB-CAAC）框架，结合了云，IoT和上下文感知计算的优势；并确保在终端设备边缘进行适当的访问控制和安全性。我们的目标不仅是控制对云中数据资源的上下文相关访问，而且还需要通过在云服务器边缘添加计算节点，将应用程序逻辑的执行从云级别转移到中间级别。物联网传感器网络。提供了一些与数据资源的上下文相关访问控制有关的开放研究问题的讨论，包括一些实际案例研究。在本文的结尾，我们对尚未在文献中充分解决的研究挑战进行了深入分析，并着重指出了与当前可得研究不一致的未来工作方向。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号