Automatic Device Classification from Network Traffic Streams of Internet of Things
Automatic Device Classification from Network Traffic Streams of Internet of Things
复制标题
根据物联网网络流量自动进行设备分类
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Zheng Yang
中科院分区：
文献类型：
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作者：
Lei Bai;Lina Yao;S. Kanhere;Xianzhi Wang;Zheng Yang
随着物联网（IoT）的广泛采用，数十亿日常物品正在连接到互联网。由于规模庞大，有效管理这些设备以支持可靠、安全和高质量的应用变得非常具有挑战性。作为物联网设备管理的关键基石之一，自动跨设备分类旨在通过分析其网络流量来识别设备的语义类型。它有可能支持广泛的新功能，例如增强的安全性（通过施加适当的规则来约束某些类型设备的通信）或物联网应用的上下文感知（通过物联网设备及其高级语义的利用和互操作性）。我们提出了一种自动物联网设备分类方法来识别新的和看不见的设备。该方法使用物联网网络的业务流所携带的丰富信息来表征各种设备的属性。我们首先从原始网络流量中指定一组区分特征，然后提出LSTM-CNN级联模型来自动识别设备的语义类型。我们使用真实世界物联网数据集的实验结果表明，我们提出的方法能够提供令人满意的性能。我们还提出了有趣的见解，并讨论了潜在的扩展和应用。
With the widespread adoption of Internet of Things (IoT), billions of everyday objects are being connected to the Internet. Effective management of these devices to support reliable, secure and high quality applications becomes challenging due to the scale. As one of the key cornerstones of IoT device management, automatic cross-device classification aims to identify the semantic type of a device by analyzing its network traffic. It has the potential to underpin a broad range of novel features such as enhanced security (by imposing the appropriate rules for constraining the communications of certain types of devices) or context-awareness (by the utilization and interoperability of IoT devices and their high-level semantics) of IoT applications. We propose an automatic IoT device classification method to identify new and unseen devices. The method uses the rich information carried by the traffic flows of IoT networks to characterize the attributes of various devices. We first specify a set of discriminating features from raw network traffic flows, and then propose a LSTM-CNN cascade model to automatically identify the semantic type of a device. Our experimental results using a real-world IoT dataset demonstrate that our proposed method is capable of delivering satisfactory performance. We also present interesting insights and discuss the potential extensions and applications.