Distributed Worm Simulation with a Realistic Internet Model
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Comparative Study between Analytical Models and Packet-Level Worm Simulations
Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation
Hybrid intelligent systems for network security
Proceedings of the 44th annual Southeast regional conference
A realistic simulation of internet-scale events
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
Modeling malcode with Hephaestus: beyond simple spread
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Modeling and Simulations of TCP MANET Worms
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
Optimization of NIDS Placement for Protection of Intercommunicating Critical Infrastructures
EuroISI '08 Proceedings of the 1st European Conference on Intelligence and Security Informatics
An approach for classifying internet worms based on temporal behaviors and packet flows
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Investigating the impact of real-world factors on internet worm propagation
ICISS'07 Proceedings of the 3rd international conference on Information systems security
Tools for worm experimentation on the DETER testbed
International Journal of Communication Networks and Distributed Systems
A statistical approach to botnet virulence estimation
Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Proceedings of the Winter Simulation Conference
Simulation-based study of botnets and defense mechanisms against them
Journal of Computer and Systems Sciences International
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The accurate and efficient modeling of Internet worms is a particularly challenging task for network simulation tools. The atypical and aggressive behavior of these worms can easily consume excessive resources, both processing time and storage, within a typical simulator. In particular, the selection of random IP addresses, and the sending of packets to the selected hosts, even if they are non-existent or not modeled in the simulation scenario, is challenging for existing network simulation tools. Further, the computation of routing information for these randomly chosen target addresses defeats most caching or on-demand routing methods, resulting in substantial overhead in the simulator. We discuss the design of our Internet worm models in the Georgia Tech Network Simulator, and show how we addressed these issues.We present some results from our Internet worm simulations that show the rate of infection spread for a typical worm under a variety of conditions.