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dc.date.accessioned 2012-11-14T13:02:49Z
dc.date.available 2012-11-14T13:02:49Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24138
dc.description.abstract Various worms have a devastating impact on Internet. Packet level network modeling and simulation has become an approach to find effective countermeasures against worm threat. However, current alternatives are not fit enough for this purpose. For instance, they mostly focus on the details of lower layers of the network so that the abstraction of application layer is very coarse. In our work, we propose a formal description of network and worm models, and define network virtualization levels to differentiate the expression capability of current alternatives. We then implement a framework, called NSME, based on NS2 for dedicated worm modeling and simulation with more details of application layer. We also analyze and compare the consequential overheads. The additional real-time characteristics and a worm simulation model are further discussed. en
dc.language en es
dc.subject Invasive software (e.g., viruses, worms, Trojan horses) es
dc.subject Modeling packages es
dc.subject Simulation es
dc.title NSME: a framework for network worm modeling and simulation en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34825-5 es
sedici.creator.person Lin, Siming es
sedici.creator.person Cheng, Xueqi es
sedici.description.note 5th IFIP International Conference on Network Control & Engineering for QoS, Security and Mobility es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)