DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING | DWIGHT LOOK COLLEGE OF ENGINEERING | TEXAS A&M UNIVERSITY

 

HOME

ABOUT

COURSES

PEOPLE

PROJECTS

PUBLICATIONS

CONTACT

Internet sampling and measurement

Abstract

Sampling Internet structure and its service availability have always been important issues in networking research. This project investigates mechanisms for discovering available services on the Internet using scalable end-to-end measurements, estimaing delay between arbitrary hosts using the existing DNS infrastructure, and computing flow sizes under severe RAM constraints (i.e., using data-streaming models). 

Journal Papers

 
bullet

D. Leonard and D. Loguinov, "Demystifying Internet-Wide Service Discovery," IEEE Transactions on Networking, vol. 21, no. 6, December 2013.

PDF

 

bullet

X. Wang, X. Li, and D. Loguinov, "Modeling Residual-Geometric Flow Sampling," IEEE Transactions on Networking, vol. 21, no. 4, August 2013.

PDF

Conference Papers

 
bullet

D. Leonard, Z. Yao, X. Wang, and D. Loguinov, "Stochastic Analysis of Horizontal IP Scanning," IEEE INFOCOM, March 2012.

PDF, PPT
 
bullet

X. Wang, X. Li, and D. Loguinov, "Modeling Residual-Geometric Flow Sampling," IEEE INFOCOM, April 2011.

PDF, PPT
 
bullet

D. Leonard and D. Loguinov, "Demystifying Service Discovery: Implementing an Internet-Wide Scanner," ACM IMC, November 2010.

PDF, PPT
 
bullet

M. Smith and D. Loguinov, "Enabling High-Performance Internet-Wide Measurements on Windows," PAM, April 2010.

PDF, PPT

 

bullet

D. Leonard and D. Loguinov, "Turbo King: Framework for Large-Scale Internet Delay Measurements," IEEE INFOCOM, April 2008.

PDF, PPT

Datasets

OS fingerprinting results from the IMC 2010 paper are available below. This includes 98 signatures, modified snacktime algorithms, and all SYN-ACK RTOs from an Internet-wide scan on port 80 in August 2009. To cite the data and/or algorithms, please use the IMC paper above and refer to dataset HTTP2.

Name Description Size Date modified
README.txt explanation of the data & terms of use 1 KB 8/24/10
signatures.txt database of (window, TTL, RTO) tuples 6 KB 8/24/10
sig_map.txt signature map from IDs to text 1.6 KB 8/24/10
snacktime.cpp C++ algorithm for MS Visual Studio 1.5 KB 8/24/10
input_signatures.dat preprocessed (binary) signatures.txt 4.4 KB 8/24/10
input_ip_data.dat (window, TTL, RTO) tuples from the scan 1.68 GB 8/24/10

Software

Blaze binaries


     Copyright © 2002-2020 IRL at Texas A&M. All Rights Reserved.