On 802.11 access point locatability and named entity recognition in service set identifiers

Abstract

The 802.11 active service discovery mechanism requires the transmission of various attributes in a plain text. These attributes can be collected using passive monitoring and can be used to enumerate the preferred network list (PNL) of client devices. In this paper, we focus on the information that can be obtained using the service set identifiers (SSIDs) that make up the PNL. First, we describe a simple model based on a wireless access point geolocation technique to gauge the potential device locatability using data available on WiGLE.net. Second, we look at additional information that can be extracted from the SSID strings. Our hypothesis is that the entities of potential interest, such as locations and personal names contained within SSIDs, can be recognized in an automated fashion. Using two freely available pretrained named entity recognizers, we were able to identify up to 49%of SSIDs as possibly carrying entities of interest based on multiple data sets. We also show that extracted attributes can be used as an inference basis for additional inference attacks, which presents further opportunities in forensic and intelligence contexts.

Document Type

Journal Article

Date of Publication

2016

Publication Title

IEEE Transactions on Information Forensics and Security

Publisher

IEEE

School

School of Science / Security Research Institute

RAS ID

21041

Comments

Chernyshev, M., Valli, C., & Hannay, P. (2016). On 802.11 access point locatability and named entity recognition in service set identifiers. IEEE Transactions on Information Forensics and Security, 11(3), 584-593. Available here.

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Link to publisher version (DOI)

10.1109/TIFS.2015.2507542