A hybrid model for worm simulations in a large network
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Im, Eul Gyu | - |
dc.contributor.author | Kim, Jung Sik | - |
dc.contributor.author | Noh, In Woo | - |
dc.contributor.author | Jang, Hyun Jun | - |
dc.date.accessioned | 2022-12-21T08:41:09Z | - |
dc.date.available | 2022-12-21T08:41:09Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2007-04 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/180240 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Verlag | - |
dc.title | A hybrid model for worm simulations in a large network | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Im, Eul Gyu | - |
dc.identifier.doi | 10.1007/978-3-540-71549-8_32 | - |
dc.identifier.scopusid | 2-s2.0-38049160761 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4430 LNCS, pp.301 - 306 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.volume | 4430 LNCS | - |
dc.citation.startPage | 301 | - |
dc.citation.endPage | 306 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Computer simulation | - |
dc.subject.keywordPlus | Computer systems | - |
dc.subject.keywordPlus | Hybrid computers | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Large scale systems | - |
dc.subject.keywordPlus | Web services | - |
dc.subject.keywordPlus | Cyber terrorism | - |
dc.subject.keywordPlus | E-business | - |
dc.subject.keywordPlus | Internet incidents | - |
dc.subject.keywordPlus | Internet worms | - |
dc.subject.keywordPlus | Network modeling | - |
dc.subject.keywordPlus | Self-propagating techniques | - |
dc.subject.keywordPlus | Computer worms | - |
dc.subject.keywordAuthor | Internet incidents | - |
dc.subject.keywordAuthor | Internet worms | - |
dc.subject.keywordAuthor | Network modeling | - |
dc.subject.keywordAuthor | Simulation | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/978-3-540-71549-8_32 | - |
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