A New Efficient Scheme for Securely Growing WBAN Nodes

Zhouzhou Li, Hua Fang, Honggang Wang, Shaoen Wu, Mahmoud Daneshmand

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Securely growing or de-growing nodes is a mandatory requirement to manage Wireless Body Area Networks (WBANs). This requirement raises significant challenges in node authentication, backward node authentication, initial node configuration, and node de-growth. Unlike the traditional approaches using pre-stored secrets or relying on special authentication hardware, we explore the characteristics of WBAN and wireless signal to develop an efficient scheme for adding/removing WBAN node securely and effectively. The major idea of the proposed scheme is to construct a 'virtual' dual-antennae proximity detection system by fully utilizing the existing legitimate nodes and the behavior of human body. We built a system prototype on wireless devices and verified our scheme through experiments. In addition, a data mining (clustering) algorithm is also applied to successfully detect newly joined legitimate node and identify potential attackers.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Industrial Internet, ICII 2018
Pages159-164
Number of pages6
ISBN (Electronic)9781538677711
DOIs
StatePublished - 16 Nov 2018
Event1st IEEE International Conference on Industrial Internet, ICII 2018 - Bellevue, United States
Duration: 21 Oct 201823 Oct 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Industrial Internet, ICII 2018

Conference

Conference1st IEEE International Conference on Industrial Internet, ICII 2018
Country/TerritoryUnited States
CityBellevue
Period21/10/1823/10/18

Keywords

  • Node Authentication
  • Node De growth
  • Node Growth
  • Received Signal Strength Indicator(RSSI)
  • Symmetric Key Generation
  • Wireless Body Area Network(WBAN)

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