- Functional similarities between computer worms and biological pathogens5
- http://sim.sagepub.com DOI: 10.1177/0037549707080753
- Securing distributed adaptationq Jun Li*, Mark Yarvis, Peter Reiher
- A Distributed Phishing Disruption System Paul Knickerbocker, Dongting Yu, and Jun Li
- mSSL: Extending SSL to Support Data Sharing Among Collaborative Clients Jun Li and Xun Kang
- A Position Statement: An Approach to Measuring Large-Scale Distributed Systems
- Proof of Service in a Hybrid P2P Environment Jun Li and Xun Kang
- Scalable Supernode Selection in Peer-to-Peer Overlay Networks Virginia Lo, Dayi Zhou, Yuhong Liu, Chris GauthierDickey, and Jun Li
- On Knowledge-Based Classification of Abnormal Jun Li, Dejing Dou, Shiwoong Kim, Han Qin, and Yibo Wang
- Understanding and Utilizing the Hierarchy of Abnormal BGP Events Dejing Dou, Jun Li, Han Qin and Shiwoong Kim
- BGP Behavior Analysis During the August 2003 Z. Wu, E. Purpus, J. Li
- GLOWS: A High Fidelity Worm Simulator Shad Stafford, Jun Li, Toby Ehrenkranz, and Paul Knickerbocker
- SWORD: Self-propagating Worm Observation and Rapid Detection Jun Li, Shad Stafford, and Toby Ehrenkranz
- SAVE: Source Address Validity Enforcement Protocol Jun Li Jelena Mirkovic Mengqiu Wang Peter Reiher Lixia Zhang
- Poster Proposal: Detecting Zero-Day Self-Propagating Internet Worms Based on Their Fundamental Behavior
- Incrementally Deployable Source Address Validity
- Resilient and Self-Organizing Overlay of Collaborative Security Monitors
- DetectionLatency(seconds) It is prohibitively expensive to monitor all connections on a network. Instead we place a
- Noname manuscript No. (will be inserted by the editor)
- Midgard Worms: Sudden Nasty Surprises from a Large Resilient Zombie Army
- WIP FOR USENIX 2004 1 Aggregating Detectors for New Worm Identification
- Public Review for BGP Routing Dynamics Revisited
- MASH: The Multicasting Archie Server Hierarchy Adam Rosenstein
- mSSL: Securely Sharing Data from a Server among Clients
- On the State of IP Spoofing Defense TOBY EHRENKRANZ and JUN LI
- This article was published in an Elsevier journal. The attached copy is furnished to the author for non-commercial research and
- Behavior-based Worm Detectors Compared Shad Stafford and Jun Li
- Sequoia A Robust Communication Architecture for Collaborative Security Monitoring Systems
- Multi-Tier Intrusion Detection System University of California, Los Angeles
- I-seismograph: Observing and Measuring Internet Earthquakes
- On the Performance of SWORD in Detecting Zero-Day-Worm-Infected Hosts
- Realizing a Source Authentic Internet Toby Ehrenkranz1
- IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 22, NO. 1, JANUARY 2004 189 Resilient Self-Organizing Overlay Networks for
- CAREER: A Behavior-Based Framework for Detecting Internet Worms
- Is BGP Update Storm a Sign of Trouble: Observing the Internet Control and Data Planes During Internet Worms
- Toward Understanding the Behavior of BGP During Large-Scale Power Outages
- An Incrementally Deployable Protocol for Learning the Valid Incoming Direction of IP Packets
- Securing Distributed Adaptation Jun Li Mark Yarvis Peter Reiher
- Securing Information Transmission by Redundancy Jun Li Peter Reiher Gerald Popek
- Watching Data Streams Toward a Multi-Homed Sink Under Routing Changes Introduced by a
- Investigating the Impact of Real-World Factors on Internet Worm Propagation
