Detecting IoT Traffic Anomalies in Smart Home Environment

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

Abstract

In this paper, we propose a novel approach to evaluate risks for Internet of Things (IoT). As the impact of the IoT traffic on the Internet is still largely unknown, we characterize IoT traffic in smart home environment and then generate synthetic IoT traffic in order to compare with IoT malicious traffic. This work is the first step towards understanding the properties of IoT traffic and its impact on the Internet as well as for detecting anomalies in IoT traffic.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132792
DOIs
Publication statusPublished - 2019 May
Event6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 - Yilan, Taiwan, Province of China
Duration: 2019 May 202019 May 22

Publication series

Name2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

Conference

Conference6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
CountryTaiwan, Province of China
CityYilan
Period19/5/2019/5/22

Keywords

  • Internet of Things
  • smart home
  • traffic anomaly
  • traffic generator

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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