Presentation 2019-07-04
Analyzing MAC address randomization for Wi-Fi signal based mobile device tracking
Yuki Furuya, Hiromu Asahina, Kentaroh Toyoda, Iwao Sasase,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Analyzing facility usage through Wi-Fi signals of users’ mobile devices has become controversial butcommon. Although Wi-Fi signals are helpful to continuously record the facility usage, there is concern over the leakage of private information. Therefore, most of the latest smartphone OS implement the MAC address randomization. Motivated by the above, In this paper, we propose RSSI (Received Signal Strength Indicator)-based data labeling for Wi-Fi signals with randomized MAC addresses and machine learning-based feature analysis. We show the results of the feature analysis of collected dataset which contains 677 labeled Wi-Fi signals with randomized MAC addresses transmitted from 21 smartphones.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Wi-Fi / MAC address randomization / machine learning / dataset
Paper # CS2019-17
Date of Issue 2019-06-27 (CS)

Conference Information
Committee CS
Conference Date 2019/7/4(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Amami City Social Welfare Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Next Generation Networks, Access Networks, Broadband Access, Power Line Communications, Wireless Communication Systems, Coding Systems, etc.
Chair Hidenori Nakazato(Waseda Univ.)
Vice Chair Jun Terada(NTT)
Secretary Jun Terada(Waseda Univ.)
Assistant Kazutaka Hara(NTT) / Hiroyuki Saito(OKI)

Paper Information
Registration To Technical Committee on Communication Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analyzing MAC address randomization for Wi-Fi signal based mobile device tracking
Sub Title (in English)
Keyword(1) Wi-Fi
Keyword(2) MAC address randomization
Keyword(3) machine learning
Keyword(4) dataset
1st Author's Name Yuki Furuya
1st Author's Affiliation Keio University(Keio Univ.)
2nd Author's Name Hiromu Asahina
2nd Author's Affiliation Keio University(Keio Univ.)
3rd Author's Name Kentaroh Toyoda
3rd Author's Affiliation Keio University(Keio Univ.)
4th Author's Name Iwao Sasase
4th Author's Affiliation Keio University(Keio Univ.)
Date 2019-07-04
Paper # CS2019-17
Volume (vol) vol.119
Number (no) CS-101
Page pp.pp.25-29(CS),
#Pages 5
Date of Issue 2019-06-27 (CS)