On Quantifying the Complexity of IoT Traffic

Lisa Liu, D. Essam, T. Lynar
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引用次数: 1

Abstract

A single quantitative measure for characterizing the complexity of Internet-of-Things (IoT) network traffic remains elusive. Such a quantifier holds value in distinguishing the relative complexities of IoT network traffic in an increasingly heterogeneous IoT device landscape, enabling network operators to anticipate and provision for, as well as manage existing network infrastructure. In this paper, we apply relevant contemporary techniques used to quantify the complexity of regular network traffic to a modern, comprehensive empirical IoT network traffic dataset. The results were interpreted to discover their merits and pitfalls. Based on our findings, we contend there is a need to develop new quantitative measures that can accommodate the diversity of IoT traffic.
物联网流量复杂性量化研究
表征物联网(IoT)网络流量复杂性的单一定量度量仍然难以捉摸。这样的量词在区分日益异构的物联网设备环境中物联网网络流量的相对复杂性方面具有价值,使网络运营商能够预测和提供以及管理现有的网络基础设施。在本文中,我们将用于量化常规网络流量复杂性的相关当代技术应用于现代,全面的经验物联网网络流量数据集。对结果进行了解释,以发现它们的优点和缺陷。根据我们的研究结果,我们认为有必要开发新的量化措施,以适应物联网流量的多样性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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