Your MAC Address Can be Detected Easily When Your Smartphone Connected to the Wi-Fi
Dublin Core
Title
Your MAC Address Can be Detected Easily When Your Smartphone Connected to the Wi-Fi
Subject
MAC layer data
Time-stamp
RSSI
Smartphone
Wi-Fi tracking system
Description
In this short paper, we prove that smartphones connected to Wi-Fi can be detected (scanned) easily with a Raspberry Pi help. According to the observation, the smartphone eventually broadcasts some packets of data containing MAC layers data. The period of broadcasting data depends on the smartphone’s state (active scanning/sleep). Besides MAC layers data, we also detect/capture other parameters, i.e., wireless signature data transmitted by smartphone (RSSI) and Time-stamp. The RSSI value measured in this test has a range from –30 dBm to –80 dBm. The result proves that different smartphones give different RSSI values (each smartphone emits different power strength). The RSSI value has more significant changes in a short-range (in this test result, 1 to 10 meters) and less significant change in a long-distance (above 20 meters). MAC address, time-stamp, and RSSI scanned/captured successfully through Raspberry Pi from the smartphones can be used as a reference for various purposes/applications in future work, such as Wi-Fi scanning/tracking system.
Creator
Fuada, Syifaul
Rabbani, Raihan Fakhri
Majid, Nuur Wachid Abdul
Prasetiyo, Prasetiyo
Muttaqin, Rahmat
Adiono, Trio
Islam, Shorful
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 07 (2021); pp. 176-184
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2021-04-09
Rights
Copyright (c) 2021 Syifaul Fuada, Raihan Fakhri Rabbani, Nuur Wachid Abdul Majid
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Non-refereed Article
Identifier
Citation
Syifaul Fuada et al., Your MAC Address Can be Detected Easily When Your Smartphone Connected to the Wi-Fi, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 21, 2024, https://igi.indrastra.com/items/show/1831