180 Works

CRAWDAD dataset tools/analyze/link/PBProbe (v. 2012-10-24)

Ling-Jyh Chen & Wei-Xian Lee
PBProbe is a link capacity estimation tool that supports a wide range of links, including high speed links, asymmetric links, and wireless links. The tool is based on the CapProbe algorithm excepts that it uses a “packet bulk” to adapt the number of packets in each probing according to different network characteristics. As a result, it preserves the simplicity, speed, and accuracy of CapProbe, and compensates for the poor system timer granularity problem that may...

CRAWDAD dataset tools/analyze/pcap/WScout (v. 2007-09-12)

Thomas Claveirole & Marcelo Dias De Amorim
WScout provides a PCAP traces visualizer that is able to work with huge traces (>10 GiB). Its goals are speed and low memory requirements. Despite its design being protocol-agnostic, it currently handles only Prism and IEEE 802.11 headers, hence its name.

CRAWDAD dataset tools/sanitize/generic/FLAIM (v. 2006-11-01)

Kiran Lakkaraju, Xiaolin Luo & Adam Slagell
FLAIM is a multi-level, multi-log anonymization tool. FLAIM-Core comprises the anonymization engine and XML based policy manager. FLAIM-Core loads dynamic libraries responsible for I/O and parsing at runtime. There is a library for each type of log flaim supports. The XML policy, the I/O module, input file and output files are all specified on the command line.

CRAWDAD dataset umass/diesel (v. 2006-01-17)

John Burgess, John Zahorjan, Ratul Mahajan, Brian Neil Levine, Aruna Balasubramanian, Arun Venkataramani, Yun Zhou, Bruce Croft, Nilanjan Banerjee, Mark Corner & Don Towsley
This dataset includes the real mobility and real transfers of the bus-based DTN (Disruption-tolerant-network) testbed, called UMassDieselNet, operating from the UMass Amherst campus and the surrounding county.

CRAWDAD dataset upmc/content (v. 2006-11-17)

Jérémie Leguay, Pan Hui, Jon Crowcroft, James Scott, Anders Lindgren & Timur Friedman
This data includes a number of traces of Bluetooth sightings by groups of users carrying small devices (iMotes) at locations around the city of Cambridge, UK.

CRAWDAD dataset uportorwthaachen/vanetjamming2014 (v. 2014-05-12)

Oscar Puñal, Carlos Pereira, Ana Aguiar & James Gross
This dataset contains several tracesets of 802.11p communications with the presence of an RF jamming signal. The RF jammer has different patterns of operation, namely constant, periodic, and reactive jamming. The observations were performed in a rural area located in the periphery of Aachen in Germany.

CRAWDAD dataset utah/CIR (v. 2007-09-10)

Neal Patwari
This dataset contains over 9300 measured CIR (channel impulse responses) in a 44-node wireless network.

CRAWDAD dataset yonsei/lifemap (v. 2012-01-03)

Yohan Chon, Elmurod Talipov, Hyojeong Shin & Hojung Cha
We deployed our mobility monitoring system, called LifeMap, to collect fine-grained mobility data from commercial mobile phones over two months in Seoul, Korea. The dataset contains location information (latitude and longitude) with accuracy (error bound), Wi-Fi fingerprints (MAC address and signal strength of surrounding Wi-Fi APs), user-defined types of places (workplace, cafeteria, etc.). Our system continuously collected this information every 2 to 5 minutes for everyday location monitoring.

CRAWDAD dataset hasselt/EDM (v. 2017-06-09)

Pieter Robyns, Bram Bonné, Peter Quax & Wim Lamotte
A complete collection of all management and control frames (including Radiotap headers) observed at our research lab from 28 January to 8 Febuary 2016. This dataset was used to calculate the "stability" and "variability" of Probe Request IEs (see our paper for more details on these metrics).

CRAWDAD dataset hasselt/EDM (v. 2017-06-09)

Pieter Robyns, Bram Bonné, Peter Quax & Wim Lamotte
A complete collection of all management and control frames (including Radiotap headers) observed at our research lab from 28 January to 8 Febuary 2016. This dataset was used to calculate the "stability" and "variability" of Probe Request IEs (see our paper for more details on these metrics).

CRAWDAD dataset hasselt/EDM (v. 2017-06-09)

Pieter Robyns, Bram Bonné, Peter Quax & Wim Lamotte
A complete collection of all management and control frames (including Radiotap headers) observed at our research lab from 28 January to 8 Febuary 2016. This dataset was used to calculate the "stability" and "variability" of Probe Request IEs (see our paper for more details on these metrics).

CRAWDAD dataset eurecom/elasticmon5G2019 (v. 2019-08-28)

Berkay Köksal, Robert Schmidt, Xenofon Vasilakos & Navid Nikaien
Ten dataset files containing 4G\/5G MAC, RRC and PDCP statistics and monitoring data, grouped into two versions of 5 datasets each: raw statistics and processed monitoring data. Raw datasets are recorded using ElasticMon v0.1, a prototype version of a monitoring framework extension of the FlexRAN 5G programmable platform for Software-Defined Radio Access Networks. For details, see here: http:\/\/mosaic-5g.io\/flexran\/. Scenarios & setup: Raw datasets are recorded for one eNB and a single mobile User Equipment (UE)...

CRAWDAD dataset cmu/zigbee-smarthome (v. 2020-05-26)

Dimitrios-Georgios Akestoridis, Madhumitha Harishankar, Michael Weber & Patrick Tague
This Carnegie Mellon University dataset contains Zigbee packets that were captured using a software-defined radio (USRP N210). More specifically, the contributors used GNU Radio with the gr-ieee802-15-4 and gr-foo modules to receive IEEE 802.15.4 packets and store them in PCAP format. The captured network traffic was generated from ten commercial Zigbee devices that can be found in smart home environments. Eight experiments were conducted that differed in the smart hub that was used and the...

CRAWDAD dataset tum/proximityness (v. 2020-02-18)

Michael Haus, Aaron Yi Ding & Jörg Ott
We conducted a study with 126 subjects, over three months, collecting data from various sensors, that resulted in a multimodal dataset for co-presence detection. We publish a subset of the original data set in the period between 01.06.2018 and 15.06.2018 including Wi-Fi scans as proximity verification set, magnetometer as sensor data, the positions of Wi-Fi access points, and magnetometer's sensor hardware. This study has been published at IEEE PerCrowd 2020, M. Haus, A. Y. Ding,...

CRAWDAD dataset ues/emespy (v. 2019-08-06)

Darko S. Suka, Predrag V. Pejovic & Mirjana I. Simic-Pejovic
The measurement results provided here are part of work on PhD thesis connected with measurement results variability reduction (main focus was on GSM/UMTS system. but other technologies were measured at the same time). All measurements were of indoor type. The duration of collecting data samples was 24h per day, with 10 seconds sampling interval. At some places it took one, two or four weeks to complete the measurements. Equipment used is the dosimeter (or exposimeter)...

CRAWDAD dataset tuc/mysignals (v. 2019-10-30)

Emmanouil Alimpertis & Aggelos Bletsas
MySignals dataset was collected by a network of approx. 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr) for a period of approximately 8 months. MySignal App records the received signal strength indicator (RSSI), in dBm, of the mobile serving cell, as well as their own location, through the GPS module of their smartphone and other contextual information (timestamp, deviceID etc.). Measurements and relevant information (e.g. cell ID, downlink carrier frequency and mobile...

CRAWDAD dataset tuda/ubicompzis (v. 2020-04-08)

Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina & Matthias Hollick
The dataset contains 10 types of context information (i.e., audio, restricted access, Wi-Fi and Bluetooth Low Energy (BLE) beacons, barometric pressure, humidity, luminosity, temperature, accelerometer, gyroscope, and magnetometer) collected by multiple devices in three scenarios: car, office, and mobile. The collected context information is used to evaluate the performance of five zero-interaction pairing or authentication schemes ;the results of this evaluation are also part of the dataset. Institution that owns the data: TU Darmstadt

CRAWDAD dataset dartmouth/campus (v. 2004-11-09)

David Kotz, Tristan Henderson, Ilya Abyzov & Jihwang Yeo
This dataset includes syslog, SNMP, and tcpdump data for 3 years or more, for over 450 access points and several thousand users at dartmouth college.

CRAWDAD dataset oviedo/asturies-er (v. 2016-04-12)

Sergio Cabrero, Roberto Garcia, Xabiel G. Garcia & David Melendi
This dataset contains ONE connectivity traces extracted from GPS traces collected from the regional Fire Department of Asturias, Spain. The original data source is one year of GPS traces extracted from a Geographical Information System (GIS). The traces were generated by GPS devices embedded mainly in cars and trucks, but also in a helicopter and a few personal radios. A total of 229 devices reported 19,462,339 locations. A new location is reported with an interval...

CRAWDAD dataset oviedo/asturies-er (v. 2016-08-08)

Sergio Cabrero, Roberto García, Xabiel G. García & David Melendi
This dataset contains mobility and connectivity traces extracted from GPS traces collected from the regional Fire Department of Asturias, Spain. The original data source is one year of GPS traces extracted from a Geographical Information System (GIS). The traces were generated by GPS devices embedded mainly in cars and trucks, but also in a helicopter and a few personal radios. A total of 229 devices reported 19,462,339 locations. A new location is reported with an...

CRAWDAD dataset tools/sanitize/generic/AnonTool (v. 2006-03-25)

D. Koukis, Spiros Antonatos, Demetris Antoniades, E. P. Markatos, P. Trimintzios & Michalis Fukarakis
AnonTool, an open-source implementation of Anonymization API, provides an easy to use, flexible and efficient library of functions that can be used to anonymize live traffic, or packet traces in libpcap file format. Currently, IP, TCP/UDP, HTTP, FTP and Netflow v5 and v9 are supported. Three ready-to-use applications have been implemented on top of this library; one provides basic anonymization functionality for the IP/TCP/UDP protocols, and two more which can perform anonymization on every field...

CRAWDAD dataset cu/wimax (v. 2012-06-01)

Michael Ton & Caleb Phillips
This data was collected at the University of Colorado Boulder. It contains careful point measurements of the WiMax network serving the University of Colorado campus. Measurements were made with a portable spectrum analyzer and contain high fidelity measurements of CINR, RSS, EVM, RCE, Spectrum Flatness, and Frequency Shift. Several hundred measurements were taken on a 100m equalateral triangular lattice as a "first phase" sample. Additional "second phase" measurements were taken at random and optimized points.

CRAWDAD dataset dartmouth/campus (v. 2009-09-09)

David Kotz, Tristan Henderson, Ilya Abyzov & Jihwang Yeo
This dataset includes syslog, SNMP, and tcpdump data for 5 years or more, for over 450 access points and several thousand users at Dartmouth College.

CRAWDAD dataset dartmouth/campus (v. 2004-12-18)

David Kotz, Tristan Henderson, Ilya Abyzov & Jihwang Yeo
This dataset includes syslog, SNMP, and tcpdump data for 3 years or more, for over 450 access points and several thousand users at dartmouth college.

CRAWDAD dataset due/packet-delivery (v. 2015-03-30)

Songwei Fu & Yan Zhang
The data set includes measurements of the data delivery performance of a WSN link in indoor scenario, where 4 major performance metrics, namely energy, throughput, delay and loss, were measured over 6 months under around 50 thousand parameter configurations of 7 key stack parameters. The meta-data of transmission of nearly 200 million packets are included in the dataset.

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