Detecting consumer IoT devices through the lens of an ISP
Detecting consumer IoT devices through the lens of an ISP
复制标题
通过 ISP 的视角检测消费者物联网设备
DOI：
10.1145/3472305.3472885
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Feldmann, Anja
中科院分区：
文献类型：
--
作者：
Saidi, Said Jawad;Mandalari, Anna Maria;Haddadi, Hamed;Dubois, Daniel J.;Choffnes, David;Smaragdakis, Georgios;Feldmann, Anja
物联网（IoT）设备正变得越来越流行，并为其用户提供广泛的服务和功能。然而，这些设备存在重大的隐私和安全风险。物联网设备可能会在用户不知情的情况下将其私人信息泄露给第三方，从而侵犯用户的隐私。在这项工作中，我们研究了在互联网服务提供商的网络中识别物联网设备及其位置的可能性。通过分析来自大型互联网服务提供商（ISP）的数据，我们可以识别特定的物联网设备，它们的供应商，有时甚至是它们的特定型号，并推断它们在网络中的位置。即使稀疏采样的流量数据通常是ISP处容易获得的唯一数据集，这也是可能的。我们评估了我们提出的方法[1]，以推断大型ISP的用户线路上的物联网设备。考虑到物联网设备位置和模型的真实信息，我们能够从野外采样的流量数据中检测到超过77%的物联网设备。
Internet of Things (IoT) devices are becoming increasingly popular and offer a wide range of services and functionality to their users. However, there are significant privacy and security risks associated with these devices. IoT devices can infringe users' privacy by ex-filtrating their private information to third parties, often without their knowledge.In this work we investigate the possibility to identify IoT devices and their location in an Internet Service Provider's network. By analyzing data from a large Internet Service Provider (ISP), we show that it is possible to recognize specific IoT devices, their vendors, and sometimes even their specific model, and to infer their location in the network. This is possible even with sparsely sampled flow data that are often the only datasets readily available at an ISP. We evaluate our proposed methodology [1] to infer IoT devices at subscriber lines of a large ISP. Given ground truth information on IoT devices location and models, we were able to detect more than 77% of the studied IoT devices from sampled flow data in the wild.
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DOI：
10.1145/3278532.3278561
发表时间：
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期刊：
Proceedings of the Internet Measurement Conference 2018
影响因子：
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影响因子：
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DOI：
10.14722/ndss.2019.23438
发表时间：
2019
期刊：
Proceedings 2019 Network and Distributed System Security Symposium
影响因子：
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作者：
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