Identifying IoT devices and events based on packet length from encrypted traffic
Abstract
Recently, machine learning algorithms have been used to identify Internet of Things (IoT) devices and events. However, existing proposals may inspect the packet payload, what creates risks to IoT users’ privacy, and may use several features, increasing the computational complexity for traffic classification. In addition, existing techniques may also use complex mechanisms for extracting traffic characteristics, including the creation of vectors...
Paper Details
Title
Identifying IoT devices and events based on packet length from encrypted traffic
Published Date
Aug 1, 2019
Journal
Volume
144
Pages
8 - 17
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