A hybrid model for worm simulations in a large network
- Authors
- Im, Eul Gyu; Kim, Jung Sik; Noh, In Woo; Jang, Hyun Jun
- Issue Date
- Apr-2007
- Publisher
- Springer Verlag
- Keywords
- Internet incidents; Internet worms; Network modeling; Simulation
- Citation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4430 LNCS, pp.301 - 306
- Indexed
- SCOPUS
- Journal Title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- Volume
- 4430 LNCS
- Start Page
- 301
- End Page
- 306
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180240
- DOI
- 10.1007/978-3-540-71549-8_32
- ISSN
- 0302-9743
- 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.
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