Wi-Fi probe requests collected in lab sc6-61 at Brno Univ. of Technology and stored in both, CSV and PCAP (compatible with Wireshark or Python Scapy) files. The two probe requests' sniffers using ESP32 as a networking device with SD card as a storage were used at position_1 and position_2.
To work with PCAP files in Python, install the latest version of Scapy:
pip3 install scapyTo read a csv file in Python:
import pandas as pd
df = pd.read_csv(<filename.csv>, sep=";", decimal=".")
print(f"Number of probe requests: {len(df):,}")
# Print basic information about a DataFrame
print(df.info())
# Print all columns of the first 5 lines of dataframe
pd.set_option('display.max_columns', None)
print(df.head())The dataset consists of the following columns:
| Name | Description |
|---|---|
datetime |
Timestamp |
dst |
Destination MAC |
src |
*Source MAC |
src_vendor |
Source vendor name |
randomized |
Randomized MAC? |
rssi |
Received Signal Strength Indicator |
idx |
Index of received probe-request in PCAP file |
seq_num |
Sequence number |
ch_freq |
Frequency channel |
FCfield |
Frame Control field |
ssid |
*Service Set Identifier (Wi-Fi name) |
dot11elt |
Scapy layer according to IEEE 802.11 |
oui |
Organization Unique Identifier |
occupancy |
Number of individuals present in the lab |
*The ssid and a portion of the src MAC addresses were anonymized in this dataset.
In the lab, there are several All-in-One computers with Wi-Fi. The following list of anonymized MACs should be removed from the dataset within the pre-processing operations.
dc:fb:48:68:be:e4
dc:fb:48:8c:71:fc
dc:fb:48:2a:52:e0
dc:fb:48:f5:c6:c2
dc:fb:48:e3:ab:78
dc:fb:48:00:51:90
dc:fb:48:75:d8:42
dc:fb:48:de:86:8d
dc:fb:48:dd:c6:0b
dc:fb:48:55:d5:78
dc:fb:48:c2:1d:64
40:ec:99:f9:34:a6
40:ec:99:8e:3f:63
40:ec:99:1f:3e:75