David Kotz papers for keyword 'data'

Datasets for Mobile, Wearable and IoT Research

Sat, 01 Apr 2017 00:00:00

Reza Rawassizadeh and David Kotz. Datasets for Mobile, Wearable and IoT Research. GetMobile: Mobile Computing and Communications, volume 20, number 4, pages 5–7. ACM, April 2017. doi:10.1145/3081016.3081018.

Abstract:

The advent of affordable devices with sensors and communication capabilities has led to the proliferation of computing paradigms, such as the Internet of Things (IoT), mobile devices, and wearable technologies. For the sake of simplicity, we use the umbrella term “small devices” for these technologies. At the same time, in the past decade, the increasing availability of large datasets has shifted scientists’ attention toward data science, and defined new trends in computation. Even some scientists call it an evolutionary shift that has changed the pace of scientific progress, i.e., the “fourth paradigm”.

POSTER: CRAWDAD: A Wireless Network Data Archive for WiSec Researchers

Tue, 01 Jul 2014 00:00:00

Tristan Henderson and David Kotz. POSTER: CRAWDAD: A Wireless Network Data Archive for WiSec Researchers. Proceedings of the ACM Conference on Security and Privacy in Wireless & Mobile Networks (WiSec), 2 pages. ACM, July 2014.

Abstract:

We present the CRAWDAD wireless network data archive, the largest archive of its type. CRAWDAD hosts 115 wireless network datasets and tools, many of which are of use, and have been used, for wire- less network research. CRAWDAD datasets should be of interest to the WiSec community, and similarly that the community might be interested in contributing data to the archive.

User survey regarding the needs of network researchers in trace-anonymization tools

Sun, 01 Nov 2009 00:00:00

Jihwang Yeo, Keren Tan, and David Kotz. User survey regarding the needs of network researchers in trace-anonymization tools. Technical Report number TR2009-658, Dartmouth Computer Science, Hanover, NH, November 2009.

Abstract:

To understand the needs of network researchers in an anonymization tool, we conducted a survey on the network researchers. We invited network researchers world-wide to the survey by sending invitation emails to well-known mailing lists whose subscribers may be interested in network research with collecting, sharing and sanitizing network traces.

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

Tue, 01 Sep 2009 00:00:00

David Kotz, Tristan Henderson, Ilya Abyzov, and Jihwang Yeo. CRAWDAD dataset dartmouth/campus (v. 2009-09-09). Available for download on IEEE DataPort, September 2009. doi:10.15783/C7F59T.

Abstract:

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.

Data for Cybersecurity Research: Process and “Wish List”

Wed, 10 Jun 2009 00:00:00

Jean Camp, Lorrie Cranor, Nick Feamster, Joan Feigenbaum, Stephanie Forrest, Dave Kotz, Wenke Lee, Patrick Lincoln, Vern Paxson, Mike Reiter, Ron Rivest, William Sanders, Stefan Savage, Sean Smith, Eugene Spafford, and Sal Stolfo. Data for Cybersecurity Research: Process and “Wish List”. June 10, 2009. Informal report.

Abstract:

This document identifies data needs of the security research community. This document is in response to a request for a “data wish list”. Because specific data needs will evolve in conjunction with evolving threats and research problems, we augment the wish list with commentary about some of the broader issues for data usage.

CRAWDAD Workshop 2007

Tue, 01 Jul 2008 00:00:00

Jihwang Yeo, Tristan Henderson, and David Kotz. CRAWDAD Workshop 2007. ACM SIGCOMM Computer Communication Review, volume 38, number 3, pages 79–82. ACM, July 2008. doi:10.1145/1384609.1384619.

Abstract:

Wireless network researchers are hungry for data about how real users, applications, and devices use real networks under real network conditions. CRAWDAD, the Community Resource for Archiving Wireless Data at Dartmouth, is an NSF-funded project that is building a wireless network data archive for the research community. We host wireless data, and provide tools and documents to make it easy to collect and use wireless network data. We hope that this resource will help researchers to identify and evaluate real and interesting problems in mobile and pervasive computing. This report outlines the CRAWDAD project and summarizes the third CRAWDAD workshop, held at MobiCom 2007.

Workshop report — CRAWDAD Workshop 2006

Mon, 01 Jan 2007 00:00:00

Jihwang Yeo, Tristan Henderson, and David Kotz. Workshop report — CRAWDAD Workshop 2006. ACM SIGMOBILE Mobile Computing and Communication Review, volume 11, number 1, pages 67–69. ACM, January 2007.

Abstract:

Wireless network researchers are seriously starved for data about how real users, applications, and devices use real networks under real network conditions. CRAWDAD, the Community Resource for Archiving Wireless Data at Dartmouth, is an NSF-funded project that is building a wireless network data archive for the research community. We host wireless data, and provide tools and documents to make it easy to collect and use wireless network data. We hope that this resource will help researchers to identify and evaluate real and interesting problems in mobile and pervasive computing. This report outlines the CRAWDAD project and summarizes the second CRAWDAD workshop, held at MobiCom 2006.

CRAWDAD dataset dartmouth/outdoor (v. 2006-11-06)

Mon, 06 Nov 2006 00:00:00

Robert Gray, David Kotz, Calvin Newport, Nikita Dubrovsky, Aaron Fiske, Jason Liu, Christopher Masone, Susan McGrath, and Yougu Yuan. CRAWDAD dataset dartmouth/outdoor (v. 2006-11-06). Data set, November 6, 2006. doi:10.15783/C7301Z.

Abstract:

MANET dataset of outdoor experments for comparing differnet routing algorithms. This dataset contains outdoor runs of MANET (Mobile Ad-hoc network) routing algorithms to compare the performance of four different routing algorithms.

CRAWDAD data set dartmouth/wardriving (v. 2006-06-02)

Fri, 02 Jun 2006 00:00:00

Minkyong Kim, David Kotz, and Jeffery Fielding. CRAWDAD data set dartmouth/wardriving (v. 2006-06-02). Data set, June 2, 2006. doi:10.15783/C7TG66.

Abstract:

Location-aware dataset for analyzing the errors in location estimates. The authors collected the dataset through war driving, i.e., collecting Wi-Fi beacons by driving or walking around Dartmouth Campus, to understand the effect of using estimated AP locations.

CRAWDAD archive: a Community Resource for Archiving Wireless Data At Dartmouth

Sat, 01 Jan 2005 00:00:00

David Kotz, Tristan Henderson, and Chris McDonald. CRAWDAD archive: a Community Resource for Archiving Wireless Data At Dartmouth. Web site, 2005.

Abstract:

CRAWDAD is the Community Resource for Archiving Wireless Data At Dartmouth, a wireless network data resource for the research community. This archive has the capacity to store wireless trace data from many contributing locations, and staff to develop better tools for collecting, anonymizing, and analyzing the data.

gnuplot plotting software

Thu, 01 Jan 1987 00:00:00

Thomas Williams, Colin Kelley, and others. gnuplot plotting software. Major contributor 1987—91, 1987.

Abstract:

Gnuplot is a portable command-line driven graphing utility for Linux, OS/2, MS Windows, OSX, VMS, and many other platforms. It was originally created to allow scientists and students to visualize mathematical functions and data interactively. Gnuplot has been supported and under active development since 1986.