Publications

Found 223 results
Author Title [ Type(Asc)] Year
Filters: Author is Vern Paxson  [Clear All Filters]
Conference Paper
Kanich, C., Weaver N., McCoy D., Halvorson T., Kreibich C., Levchenko K., et al. (2011).  Show Me the Money: Characterizing Spam-Advertised Revenue.
Kannan, J., Jung J., Paxson V., & Koksal C. Emre (2006).  Semi-Automated Discovery of Application Session Structure. Proceedings of the Internet Measurement Conference 2006 (IMC 2006). 119-132.
Mittal, P., Paxson V., Sommer R., & Winterrowd M. (2009).  Securing Mediated Trace Access Using Black-Box Permutation Analysis.
Willinger, W., Govindan R., Jamin S., Paxson V., & Shenker S. J. (2002).  Scaling Phenomena in the Internet: Critically Examining Criticality. Proceedings of National Academy of Science of the United States of America (PNAS). 99,
Dharmapurikar, S., & Paxson V. (2005).  Robust TCP Reassembly in the Presence of Adversaries. Proceedings of the 14th Conference on USENIX Security Symposium (Security '05). 65-80.
Paxson, V., Asanović K., Dharmapurikar S., Lockwood J.., Pang R., Sommer R., et al. (2006).  Rethinking Hardware Support for Network Analysis and Intrusion Prevention. Proceedings of the First USENIX Workshop on Hot Topics in Security (HotSec '06).
Li, F., Ho G., Kuan E., Niu Y., Ballard L., Thomas K., et al. (2016).  Remedying Web Hijacking: Notification Effectiveness and Webmaster Comprehension. Proceedings of the International World Wide Web Conference.
Paxson, V. (2011).  Reflections on Measurement Research: Crooked Lines, Straight Lines, and Moneyshots.
Weaver, N., Kreibich C., & Paxson V. (2011).  Redirecting DNS for Ads and Profit.
Allman, M., & Paxson V. (2008).  A Reactive Measurement Framework. 92-101.
Rossow, C., Dietrich C. J., Kreibich C., Grier C., Paxson V., Pohlmann N., et al. (2012).  Prudent Practices for Designing Malware Experiments: Status Quo and Outlook. 65-79.
Cui, W., Paxson V., Weaver N., & Katz R. H. (2006).  Protocol-Independent Adaptive Replay of Application Dialog. Proceedings of the 13th Annual Symposium on Network and Distributed System Security (NDSS'06).
Sundaresan, S., McCoy D., Afroz S., & Paxson V. (2016).  Profiling Underground Merchants Based on Network Behavior. Proceedings of APWG eCrime 2016.
Allman, M., Kreibich C., Paxson V., Sommer R., & Weaver N. (2008).  Principles for Developing Comprehensive Network Visibility.
Weaver, N., Hamadeh I.., Kesidis G.., & Paxson V. (2004).  Preliminary Results Using ScaleDown to Explore Worm Dynamics. Proceedings of the ACM Workshop on Rapid Malcode (WORM 2004).
Nechaev, B., Allman M., Paxson V., & Gurtov A. (2010).  A Preliminary Analysis of TCP Performance in an Enterprise Network.
Dreger, H., Feldmann A., Paxson V., & Sommer R. (2008).  Predicting the Resource Consumption of Network Intrusion Detection Systems. 135-154.
Hao, S., Kantchelian A., Miller B., Paxson V., & Feamster N. (2016).  PREDATOR: Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration. Proceedings of ACM CCS.
Paxson, V., Christodorescu M., Javed M., Rao J., Sailer R., Schales D., et al. (2013).  Practical Comprehensive Bounds on Surreptitious Communication Over DNS. SEC'13: Proceedings of the 22nd USENIX conference on Security. 17-32.
Paxson, V., Christodorescu M., Javed M., Rao J., Sailer R., Schales D., et al. (2013).  Practical Comprehensive Bounds on Surreptitious Communication over DNS.
Felegyhazi, M., Kreibich C., & Paxson V. (2010).  On the Potential of Proactive Domain Blacklisting.
Gonzalez, J. Maria, & Paxson V. (2003).  Pktd: A Packet Capture and Injection Daemon. Proceedings of Passive and Active Measurement Workshop (PAM-2003). 87-96.
Sommer, R., & Paxson V. (2010).  Outside the Closed World: On Using Machine Learning for Network Intrusion Detection. 305-316.
Casado, M., Garfinkel T., Cui W., Paxson V., & Savage S. (2005).  Opportunistic Measurement: Extracting Insight from Spurious Traffic. Proceedings of the Fourth Workshop on Hot Topics in Networks (Hotnets-IV).
Dreger, H., Feldmann A., Paxson V., & Sommer R. (2004).  Operational Experiences with High-Volume Network Intrusion Detection. Proceedings of the 11th ACM Conference on Computer Communications Security (CCS 2004). 11, 2.

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