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Security and privacy-awareness in a software-defined fog computing network for the Internet of Things
Optical Switching and Networking ( IF 2.2 ) Pub Date : 2021-03-22 , DOI: 10.1016/j.osn.2021.100616
Abdulrahman Alamer

Issues of high energy costs and a time delay factor currently pose a considerable challenge to the success of the Internet of Things (IoT). Accordingly, fog computing (fog-C) has been introduced as a new paradigm to address both the high bandwidth cost and time delay issues that can result from transmitting sensing data all the way to centralized cloud servers. In addition, the optical fog-C network has been introduced to improve packet transmission among a group of connected fog nodes to support services to the end-user, with a minimum time delay. However, since network traffic management issues, such as building a network topology for supporting network traffic rules, have not been systematically recognized in optical or wireless fog-C, the fog-C network system itself is still not sufficiently dynamic to completely address these energy costs and latency issues. Thus, many studies have been suggested to integrate a software defined network (SDN) into the fog-C network system to present a software defined fog-C (SDFC) network architecture in order to eliminate the aforementioned issues associated with IoT applications. However, integrating the SDN with the fog-C system may generally result in introducing specific security and privacy challenges to the fog-C network topology system due to its distinctive features. This paper will review the overall promising advantages of SDFC networks, with a consideration of security and privacy threats associated with the fog-C network topology as well as possible solutions.



中文翻译:

用于物联网的软件定义的雾计算网络中的安全性和隐私意识

当前,高能源成本和时延因素的问题对物联网(IoT)的成功提出了巨大挑战。因此,已经引入了雾计算(fog-C)作为新的范例,以解决由于将传感数据一直传输到集中式云服务器而导致的高带宽成本和时间延迟问题。另外,引入了光学Fog-C网络可以改善一组连接的Fog节点之间的数据包传输,从而以最小的时间延迟支持对最终用户的服务。但是,由于光学或无线Fog-C尚未系统地识别网络流量管理问题(例如建立网络拓扑以支持网络流量规则),fog-C网络系统本身仍然不够动态,无法完全解决这些能源成本和延迟问题。因此,已经提出了许多研究,以将软件定义的网络(SDN)集成到fog-C网络系统中,以呈现软件定义的fog-C(SDFC)网络体系结构,从而消除与物联网应用程序相关的上述问题。但是,由于SDN的独特功能,将SDN与fog-C系统集成在一起通常可能导致向雾C网络拓扑系统引入特定的安全性和隐私挑战。本文将回顾SDFC网络的总体前途优势,并考虑与fog-C网络拓扑相关的安全性和隐私威胁以及可能的解决方案。已经提出了许多研究,以将软件定义的网络(SDN)集成到fog-C网络系统中,以提供软件定义的fog-C(SDFC)网络体系结构,从而消除与物联网应用程序相关的上述问题。但是,由于SDN的独特功能,将SDN与fog-C系统集成在一起通常可能导致向雾C网络拓扑系统引入特定的安全性和隐私挑战。本文将回顾SDFC网络的总体前途优势,并考虑与fog-C网络拓扑相关的安全性和隐私威胁以及可能的解决方案。已经提出了许多研究,以将软件定义的网络(SDN)集成到fog-C网络系统中,以提供软件定义的fog-C(SDFC)网络体系结构,从而消除与物联网应用程序相关的上述问题。但是,由于SDN的独特功能,将SDN与fog-C系统集成在一起通常可能导致向雾C网络拓扑系统引入特定的安全性和隐私挑战。本文将回顾SDFC网络的总体前途优势,并考虑与fog-C网络拓扑相关的安全性和隐私威胁以及可能的解决方案。但是,由于SDN的独特功能,将SDN与fog-C系统集成在一起通常可能导致向雾C网络拓扑系统引入特定的安全性和隐私挑战。本文将回顾SDFC网络的总体前途优势,并考虑与fog-C网络拓扑相关的安全性和隐私威胁以及可能的解决方案。但是,由于SDN的独特功能,将SDN与fog-C系统集成在一起通常可能导致向雾C网络拓扑系统引入特定的安全性和隐私挑战。本文将回顾SDFC网络的总体前途优势,并考虑与fog-C网络拓扑相关的安全性和隐私威胁以及可能的解决方案。

更新日期:2021-04-01
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