IP-Based IoT Device Detection

Hang Guo, J. Heidemann
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引用次数: 59

Abstract

Recent IoT-based DDoS attacks have exposed how vulnerable the Internet can be to millions of insufficiently secured IoT devices. To understand the risks of these attacks requires learning about these IoT devices---where are they, how many are there, how are they changing? In this paper, we propose a new method to find IoT devices in Internet to begin to assess this threat. Our approach requires observations of flow-level network traffic and knowledge of servers run by the manufacturers of the IoT devices. We have developed our approach with 10 device models by 7 vendors and controlled experiments. We apply our algorithm to observations from 6 days of Internet traffic at a college campus and partial traffic from an IXP to detect IoT devices.
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基于ip的物联网设备检测
最近基于物联网的DDoS攻击暴露了互联网对数百万安全性不足的物联网设备的脆弱性。要了解这些攻击的风险,需要了解这些物联网设备——它们在哪里,有多少,它们是如何变化的?在本文中,我们提出了一种新的方法来寻找互联网中的物联网设备,从而开始评估这种威胁。我们的方法需要观察流量级网络流量以及物联网设备制造商运行的服务器的知识。我们已经用7家供应商的10种设备模型和控制实验开发了我们的方法。我们将算法应用于对大学校园6天互联网流量和IXP部分流量的观察,以检测物联网设备。
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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