• Advanced Polymorphic Worms: Evading IDS by Blending in with Normal Traffic 

      Kolesnikov, Oleg; Lee, Wenke (Georgia Institute of Technology, 2005)
      Normal traffic can provide worms with a very good source of information to camouflage themselves. In this paper, we explore the concept of polymorphic worms that mutate based on normal traffic. We assume that a worm ...
    • High-Fidelity Modeling of Computer Network Worms 

      Perumalla, Kalyan S.; Sundaragopalan, Srikanth (Georgia Institute of Technology, 2004-06-23)
      Abstract modeling, such as using epidemic models, has been the general method of choice for understanding and analyzing the high-level effects of worms. However, high-fidelity models, such as packet-level models, are ...
    • How Worms Wiggle 

      Samuel, Aravi (Georgia Institute of Technology, 2012-11-19)
      Directed locomotion requires coordinated motor activity throughout an animal’s body. The nematode C. elegans, with only 302 neurons, offers an opportunity to understand how locomotion is organized by an entire motor system. ...
    • Modeling and Simulations of Worms and Mitigation Techniques 

      Abdelhafez, Mohamed (Georgia Institute of Technology, 2007-11-14)
      Internet worm attacks have become increasingly more frequent and have had a major impact on the economy, making the detection and prevention of these attacks a top security concern. Several countermeasures have been proposed ...
    • Utilizing caenorhabditis elegans to biomonitor toxicity of metals in mill effluents 

      Ard, Teri A.; Dinus, Ronald J. (Atlanta, Georgia : the Institute,Georgia Institute of Technology, 1992-03)
    • Worm Detection Using Local Networks 

      Qin, Xinzhou; Dagon, David; Gu, Guofei; Lee, Wenke (Georgia Institute of Technology, 2004)
      The need for a global monitoring system for Internet worm detection is clear. Likewise, the need for local detection and response is also obvious. In this study, we used a large data set to review some of the worm monitoring ...