vEye: behavioral footprinting for self-propagating worm detection and profiling

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dc.contributor.author Jiang, Xx en_US
dc.contributor.author Zhu, Xingquan en_US
dc.contributor.editor en_US
dc.date.accessioned 2012-02-02T09:13:59Z
dc.date.available 2012-02-02T09:13:59Z
dc.date.issued 2009 en_US
dc.identifier 2011000591 en_US
dc.identifier.citation Jiang Xx and Zhu Xingquan 2009, 'vEye: behavioral footprinting for self-propagating worm detection and profiling', Springer London Ltd, vol. 18, no. 2, pp. 231-262. en_US
dc.identifier.issn 0219-1377 en_US
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/15090
dc.description.abstract With unprecedented speed, virulence, and sophistication, self-propagating worms remain as one of the most severe threats to information systems and Internet in general. In order to mitigate the threat, efficient mechanisms are needed to accurately profil en_US
dc.language en_US
dc.publisher Springer London Ltd en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/s10115-008-0137-3 en_US
dc.title vEye: behavioral footprinting for self-propagating worm detection and profiling en_US
dc.parent Knowledge And Information Systems en_US
dc.journal.volume 18 en_US
dc.journal.number 2 en_US
dc.publocation Artington en_US
dc.identifier.startpage 231 en_US
dc.identifier.endpage 262 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 0000072847 en_US
dc.personcode 107283 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Information systems; Network security; Worm detection; Behavioral footprinting; Sequence alignment en_US
dc.staffid en_US
dc.staffid 107283 en_US


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