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Fuzzy Theory Based Security Service Chaining for Sustainable Mobile-Edge Computing

机译:基于模糊理论的安全服务链可持续移动边缘计算

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摘要

Mobile-Edge Computing (MEC) is a novel and sustainable network architecture that enables energy conservation with cloud computing and network services offloading at the edge of mobile cellular networks. However, how to efficiently manage various real-time changing security functions is an essential issue which hinders the future MEC development. To address this problem, we propose a fuzzy security service chaining approach for MEC. In particular, a new architecture is designed to decouple the required security functions with the physical resources. Based on this, we present a security proxy to support compatibility to traditional security functions. Furthermore, to find the optimal order of the required security functions, we establish a fuzzy inference system (FIS) based mechanism to achieve multiple optimal objectives. Much work has been done to implement a prototype, which is used to analyze the performance by comparing with a widely used method. The results prove that the proposed FIS mechanism achieves an improved performance in terms of Inverted Generational Distance (IGD) values and execution time with respect to the compared solution.
机译:移动边缘计算(MEC)是一种新颖且可持续的网络体系结构,可通过移动蜂窝网络边缘的云计算和网络服务卸载实现节能。但是,如何有效地管理各种实时变化的安全功能是阻碍未来MEC发展的重要问题。为了解决这个问题,我们提出了一种针对MEC的模糊安全服务链方法。特别是,设计了一种新的体系结构以将所需的安全功能与物理资源分离。基于此,我们提出了一种安全代理,以支持与传统安全功能的兼容性。此外,为了找到所需安全功能的最佳顺序,我们建立了基于模糊推理系统(FIS)的机制,以实现多个最佳目标。为了实现原型,已经做了很多工作,该原型用于通过与广泛使用的方法进行比较来分析性能。结果证明,相对于所比较的解决方案,所提出的FIS机制在反向生成距离(IGD)值和执行时间方面实现了改进的性能。

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