Criminal Fishing System Based on Wireless Local Area Network Access Points - Can Media Access Control address assist criminal investigation?
Hiroaki Togashi, Yasuaki Koga, and Hiroshi Furukawa

TL;DR
This paper proposes a system that leverages Wi-Fi access points and MAC address analysis to assist criminal investigations by identifying and tracking suspects' mobile devices near crime scenes.
Contribution
It introduces a novel criminal investigation system using probe request signals from multiple Wi-Fi access points to enumerate and track culprits' MAC addresses.
Findings
System can identify MAC addresses of suspects' devices.
MAC addresses can serve as evidence of presence at a crime scene.
Preliminary experiments show effective MAC address enumeration.
Abstract
Currently, many Wi-Fi access points are being installed in urban areas. This paper considers how this infrastructure can be used to assist criminal investigations and improve public safety. We propose a criminal investigation assistance system that uses multiple wireless local area network (LAN) access points and cameras. The proposed "Criminal Fishing System" enumerates candidate media access control (MAC) addresses of culprits' mobile devices from probe request signals gathered by access points during the period in which a culprit is near the scene of an incident. Preliminary experiments demonstrated that the proposed system could identify the MAC address of the culprit's device, which would allow authorities to capture the culprit's radiowave fingerprint. After enumerating the candidate MAC addresses, the culprit's usual appearance can be obtained by surveilling these MAC addresses,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInternet Traffic Analysis and Secure E-voting · Privacy-Preserving Technologies in Data · Indoor and Outdoor Localization Technologies
