Criminal fishing system based on wireless local area network access points

Hiroaki Togashi, Yasuaki Koga, Hiroshi Furukawa

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

Abstract

This paper describes a system for criminal identification that utilizes a large number of wireless local area network (LAN) access points and cameras. The proposed 'Criminal Fishing system' identifies the media access control (MAC) address of a culprit's device from probe request signals captured by access points during the period in which a culprit remains near the incident scene. Experimental results demonstrate that the proposed system could identify the culprit MAC address 10 out of 10 times in an indoor experiment and 8 out of 8 times in an outdoor experiment, in case that the culprit's radio wave fingerprint could be captured.

Original languageEnglish
Title of host publication2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages90-95
Number of pages6
ISBN (Electronic)9781467397087
DOIs
Publication statusPublished - Jul 2 2016
Event2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 - Baden-Baden, Germany
Duration: Sep 19 2016Sep 21 2016

Publication series

NameIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Volume0

Other

Other2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016
CountryGermany
CityBaden-Baden
Period9/19/169/21/16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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  • Cite this

    Togashi, H., Koga, Y., & Furukawa, H. (2016). Criminal fishing system based on wireless local area network access points. In 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 (pp. 90-95). [7849472] (IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MFI.2016.7849472