A hybrid model for worm simulations in a large network

Authors:
Eul Gyu Im;Jung Sik Kim;In Woo Noh;Hyun Jun Jang
Affiliations:
College of Information and Communications, Hanyang University, Seoul, Republic of Korea;College of Information and Communications, Hanyang University, Seoul, Republic of Korea;College of Information and Communications, Hanyang University, Seoul, Republic of Korea;College of Information and Communications, Hanyang University, Seoul, Republic of Korea
Venue:
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
Year:
2007

Citing 8
Cited 0

GloMoSim: a library for parallel simulation of large-scale wireless networks

PADS '98 Proceedings of the twelfth workshop on Parallel and distributed simulation
Advances in Network Simulation

Computer
Hybrid Packet/Fluid Flow Network Simulation

Proceedings of the seventeenth workshop on Parallel and distributed simulation
Inside the Slammer Worm

IEEE Security and Privacy
Simulating realistic network worm traffic for worm warning system design and testing

Proceedings of the 2003 ACM workshop on Rapid malcode
High-Fidelity Modeling of Computer Network Worms

ACSAC '04 Proceedings of the 20th Annual Computer Security Applications Conference
A scalable, ordered scenario-based network security simulator

AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications
Evaluating damage from cyber attacks: a model and analysis

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Quantified Score

Hi-index	0.01

Visualization

Abstract

Internet becomes more and more popular, and most companies and institutes use web services for e-business and many other purposes. As results, Internet and web services become core infrastructure for a company or an institute and become more and more important. With the explosion of Internet, the occurrence of cyber terrorism has grown very rapidly. It is difficult to find and close all security flaws in a computer system that is connected to a network. Internet worms take advantages of these security flaws, and attack a large number of hosts with self-propagating techniques. It is quite challenging to simulate very large-scale worm attacks. This paper propose a hybrid model for large-scale simulations, and the proposed model will be both detailed enough to generate realistic packet traffic, and efficient enough to model a worm spreading through the Internet.