Identifying IoT devices and events based on packet length from encrypted traffic

Volume: 144, Pages: 8 - 17
Published: Aug 15, 2019
Abstract
null null 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...
Paper Details
Title
Identifying IoT devices and events based on packet length from encrypted traffic
Published Date
Aug 15, 2019
Volume
144
Pages
8 - 17
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.