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 language | English |
|---|---|
| Title of host publication | 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 90-95 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781467397087 |
| DOIs | |
| Publication status | Published - Feb 9 2017 |
| Event | 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 - Baden-Baden, Germany Duration: Sep 19 2016 → Sep 21 2016 |
Other
| Other | 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016 |
|---|---|
| Country | Germany |
| City | Baden-Baden |
| Period | 9/19/16 → 9/21/16 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Software
- Computer Science Applications
Cite this
Criminal fishing system based on wireless local area network access points. / Togashi, Hiroaki; Koga, Yasuaki; Furukawa, Hiroshi.
2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 90-95 7849472.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Criminal fishing system based on wireless local area network access points
AU - Togashi, Hiroaki
AU - Koga, Yasuaki
AU - Furukawa, Hiroshi
PY - 2017/2/9
Y1 - 2017/2/9
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85015218484&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85015218484&partnerID=8YFLogxK
U2 - 10.1109/MFI.2016.7849472
DO - 10.1109/MFI.2016.7849472
M3 - Conference contribution
SP - 90
EP - 95
BT - 2016 IEEE lnternational Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -