CRAWDAD iiitd/wifiactivescanning

Citation Author(s):
Gursimran
Singh
IIIT-Delhi, INDIA
Harish
Fulara
BITS-Pilani, INDIA
Dheryta
Jaisinghani
Mukulika
Maity
Tanmoy
Chakraborty
Vinayak
Naik
BITS-Pilani, INDIA
Submitted by:
CRAWDAD Team
Last updated:
Wed, 06/05/2019 - 08:00
DOI:
10.15783/c7-kybd-ys55
Data Format:
License:
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Abstract 

Cause-Specific Episodes of Active Scanning. The dataset includes packet captures collected from controlled experiments with various devices. The dataset captures active scanning behavior of the devices.

Name of each folder represents the name of the cause of active scanning.

For details please refer to our papers - Learning to Rescue WiFi Networks from Unnecessary Active Scans, WoWMoM 2019.

data collection methodology: Controlled

Traceset

 

iiitd/wifiactivescanning/WiFi-ActiveScanning-Episodes

  • measurement purpose: Network Diagnosis, Network Performance Analysis, MAC Protocol Development, Positioning Systems, Localization

  • methodology: The dataset was collected in a controlled environment with smartphones and laptops that we could control.Every file contains an episode of active scanning

WiFi-ActiveScanning-Episodes Trace

  • iiitd/wifiactivescanning/WiFi-ActiveScanning-Episodes
    • files: README.md, ap_side_procedures-20190605.zip, wifiactivescanning, beacon_loss-20190605.zip, connection_establishment-20190605.zip, low_rssi-20190605.zip, periodic_scan-20190605.zip, power_state-20190605.zip
    • configuration: The dataset is collected with TP-Link USB WiFi adapters with Atheros chipset and ath9k driver. The adapters were configured in monitor mode to capture the traffic. We used tshark to record the traffic. The datasetis in pcapng format. It can be converted to pcap and csv format for further processing.
    • format: The structure of data is described below: The data is available in Wireshark compatible format (.pcapng). The capture files for each cause is under a separate directory.
Instructions: 

The files in this directory are a CRAWDAD dataset hosted by IEEE DataPort. 

About CRAWDAD: the Community Resource for Archiving Wireless Data At Dartmouth is a data resource for the research community interested in wireless networks and mobile computing. 

CRAWDAD was founded at Dartmouth College in 2004, led by Tristan Henderson, David Kotz, and Chris McDonald. CRAWDAD datasets are hosted by IEEE DataPort as of November 2022. 

Note: Please use the Data in an ethical and responsible way with the aim of doing no harm to any person or entity for the benefit of society at large. Please respect the privacy of any human subjects whose wireless-network activity is captured by the Data and comply with all applicable laws, including without limitation such applicable laws pertaining to the protection of personal information, security of data, and data breaches. Please do not apply, adapt or develop algorithms for the extraction of the true identity of users and other information of a personal nature, which might constitute personally identifiable information or protected health information under any such applicable laws. Do not publish or otherwise disclose to any other person or entity any information that constitutes personally identifiable information or protected health information under any such applicable laws derived from the Data through manual or automated techniques. 

Please acknowledge the source of the Data in any publications or presentations reporting use of this Data. 

Citation:

Gursimran Singh, Harish Fulara, Dheryta Jaisinghani, Mukulika Maity, Tanmoy Chakraborty, Vinayak Naik, iiitd/wifiactivescanning, https://doi.org/10.15783/c7-kybd-ys55 , Date: 20190605

Documentation

AttachmentSize
File iiitd-wifiactivescanning-readme.txt1.66 KB

These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

Questions about CRAWDAD? See our CRAWDAD FAQ. Interested in submitting your dataset to the CRAWDAD collection? Get started, by submitting an Open Access Dataset.