Attack-resistant wireless localization using an inclusive disjunction model

Shih Hau Fang*, Chung Chih Chuang, Chiapin Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)


Wireless positioning is vulnerable to malicious attacks due to the nature of its open medium. This study proposes an attack-resistant fingerprinting localization algorithm based on a probabilistic inclusive disjunction model. This model allows an attacked observation to play a less significant role during the localization process, thus achieving more robust location estimations under security threats. This study included experiments conducted in an actual Wi-Fi network. Experimental results demonstrated that this approach apparently achieves more robust estimation than cluster-based, median-based, and sensor-selection methods under various attacks on RSS.

Original languageEnglish
Article number6184246
Pages (from-to)1209-1214
Number of pages6
JournalIEEE Transactions on Communications
Issue number5
Publication statusPublished - 2012 May


  • Hybrid projection
  • Location fingerprinting
  • Mobile phone positioning
  • RSS (received signal strength)
  • Wi-Fi

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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