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

 

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Internet sampling and measurement

Abstract

Sampling Internet structure and its service availability have always been important issues in Internet research. This project aims to develop mechanisms for discovering available services in the Internet using scalable end-to-end measurements, facilitate delay sampling between arbitrary hosts using the existing DNS infrastructure, perform more accurate bandwidth estimation, and build router-level maps of the Internet using non-intrusive traceroute to known destinations. We are also working on techniques for fingerprinting OS and server implementations using low-overhead end-to-end methods.

Conference Papers

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

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

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

PDF, PPT
 
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S.-R. Kang and D. Loguinov, "Robust Tool for End-to-End Tight-Link Bandwidth Estimation," IEEE IWQoS, June 2010.

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

PDF, PPT

 

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S.-R. Kang and D. Loguinov, "IMR-Pathload: Robust Available Bandwidth Estimation under End-Host Interrupt Delay,'' PAM, April 2008.

PDF, PPT

 

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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) version of 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


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