边缘物联网系统评估DDoS影响分析指标

Yo-Che Lee, Yang Wei, Hao Wang, Hoi-Ting Au, Yucheng Liu, K. Tsang
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摘要

物联网(ioT)的概念孕育了整整一代解决社会问题的智能应用。尽管基于云的物联网系统继承了云计算的健壮性和可扩展性,但其高延迟限制了时间敏感应用的实现。为了解决这个问题,基于边缘计算的物联网系统使计算服务更接近用户,这需要更低的延迟。新技术带来新攻击,分布式拒绝服务(DDoS)攻击已成为边缘物联网(EIoT)系统面临的主要威胁之一。以往的工作往往集中在边缘计算的发展现状和防御机制上。然而,目前还缺乏一种通用的标准化方法来进行安全影响分析,专门用于EIoT。本文提出了兼容IEEE P2668标准的DDoS影响分析指数(DIADex)。该方法从性能和资源两个方面量化DDoS攻击对EIoT系统的影响,并采用评分系统,为以后EIoT的研究和渗透测试提供评估依据。
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DDoS Impact Analysis Index for Edge Internet of Things System Evaluation
The concept of Internet of Things (ioT) has incubated a whole generation of smart applications to resolve problems in society. Despite cloud-based IoT systems inheriting the robustness and scalability of cloud computing, its high latency limits the implementation of time-sensitive applications. To encounter this, Edge-computing-based IoT systems make computing services closer to users which entails lower latencies. New technologies bring new attacks, and Distributed Denial of Service (DDoS) attack has been regarded as one of the major threats to Edge Internet of Things (EIoT) systems. Previous works often focus on the state-of-the-art and the defense mechanism of edge computing. However, there lacks a general standardized method for the security impact analysis, dedicated to EIoT. This paper proposes the DDoS Impact Analysis Index, or DIADex, which is compatible with the IEEE P2668 standard. From the aspects of performance and resources, this method quantifies the impact of DDoS attacks on EIoT systems with a scoring system, which can be used for evaluation in future research and penetration test on EIoT.
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