Generating IoT Traffic in Smart Home Environment

Hung Nguyen-An, Thomas Silverston, Taku Yamazaki, Takumi Miyoshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The Internet of Things is expected to count for a large part of the overall Internet traffic but its main characteristics are still widely unknown. In this work, we focus on IoT Traffic and we present a novel IoT Traffic Generator. As an use-case, we generate IoT traffic within a Smart-Home Environment. Our generator allows studying the IoT traffic and can serve for describing the main properties of the IoT traffic. It is a first step toward the detection of security threats and anomalies for IoT Traffic.

Original languageEnglish
Title of host publication2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138930
DOIs
Publication statusPublished - 2020 Jan
Event17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020 - Las Vegas, United States
Duration: 2020 Jan 102020 Jan 13

Publication series

Name2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020

Conference

Conference17th IEEE Annual Consumer Communications and Networking Conference, CCNC 2020
Country/TerritoryUnited States
CityLas Vegas
Period20/1/1020/1/13

Keywords

  • Entropy
  • IoT
  • Traffic Analysis
  • Traffic Generator

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Communication

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