World's Best Scientists 2026 revealed!
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Computer Science
USA
2023

D-Index & Metrics

Computer Science

D-Index
106
Citations
69446
World Ranking
270
National Ranking
149

Research.com Recognitions

  • 2023 - Research.com Computer Science in United States Leader Award
  • 2007 - ACM Grace Murray Hopper Award For his work in measuring and characterizing the Internet.
  • 2006 - ACM Fellow For contributions to Internet measurement and intrusion detection.

Overview

Vern Paxson is affiliated with the University of California, Berkeley in the United States. Their research primarily focuses on the field of Computer Science with subfields that include Computer Networks and Communications, Signal Processing, and Information Systems.

The main topics of Paxson's work include Network Security and Intrusion Detection, Advanced Malware Detection Techniques, and Information and Cyber Security.

Recent papers authored or coauthored by Vern Paxson include:

  • Hopper: Modeling and Detecting Lateral Movement, 2021, arXiv (Cornell University)
  • Semantic-Aware Parsing for Security Logs, 2025, arXiv (Cornell University)

Frequent co-authors include:

  • Grant Ho
  • Mayank Dhiman
  • Devdatta Akhawe
  • Stefan Savage
  • Geoffrey M. Voelker

Vern Paxson's publications are mainly found in the venue arXiv (Cornell University), contributing two papers there as of the latest information.

The scientist has been recognized with awards such as the ACM Grace Murray Hopper Award in 2007 for work related to measuring and characterizing the Internet, and was named an ACM Fellow in 2006 for contributions to Internet measurement and intrusion detection.

Best Publications

  • Wide area traffic: the failure of Poisson modeling

    Vern Paxson;Sally Floyd

  • Bro: a system for detecting network intruders in real-time

    Vern Paxson;Vern Paxson

  • TCP Congestion Control

    M. Allman;V. Paxson;W. Stevens

  • Stream Control Transmission Protocol

    R. Stewart;Q. Xie;K. Morneault;C. Sharp

  • Outside the Closed World: On Using Machine Learning for Network Intrusion Detection

    Robin Sommer;Vern Paxson

  • How to Own the Internet in Your Spare Time

    Stuart Staniford;Vern Paxson;Nicholas Weaver

  • End-to-end routing behavior in the Internet

    Vern Paxson

  • Inside the Slammer worm

    D. Moore;V. Paxson;S. Savage;C. Shannon

  • Computing TCP's Retransmission Timer

    V. Paxson;M. Allman

  • Difficulties in simulating the internet

    Sally Floyd;Vern Paxson

  • End-to-end Internet packet dynamics

    Vern Paxson

  • End-to-end internet packet dynamics

    Vern Paxson

  • Controlling high bandwidth aggregates in the network

    Ratul Mahajan;Steven M. Bellovin;Sally Floyd;John Ioannidis

  • Fast portscan detection using sequential hypothesis testing

    Jaeyeon Jung;V. Paxson;A.W. Berger;H. Balakrishnan

  • The Matter of Heartbleed

    Zakir Durumeric;Frank Li;James Kasten;Johanna Amann

  • Measurements and analysis of end-to-end Internet dynamics

    Vern Edward Paxson

  • Empirically derived analytic models of wide-area TCP connections

    Vern Paxson

  • Wide-area traffic: the failure of Poisson modeling

    Vern Paxson;Sally Floyd

  • Framework for IP Performance Metrics

    V. Paxson;G. Almes;J. Mahdavi;M. Mathis

  • @spam: the underground on 140 characters or less

    Chris Grier;Kurt Thomas;Vern Paxson;Michael Zhang

Frequent Co-Authors

Nicholas Weaver
Nicholas Weaver International Computer Science Institute
Mark Allman
Mark Allman International Computer Science Institute
Stefan Savage
Stefan Savage University of California, San Diego
Kirill Levchenko
Kirill Levchenko University of Illinois at Urbana-Champaign
Damon McCoy
Damon McCoy New York University
Geoffrey M. Voelker
Geoffrey M. Voelker University of California, San Diego
Scott Shenker
Scott Shenker University of California, Berkeley
Nick Feamster
Nick Feamster University of Chicago
Anja Feldmann
Anja Feldmann Max Planck Society

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