A Novel Visualization Method for Detecting DDoS Network Attacks

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dc.contributor.author Che Ming en_US
dc.contributor.author Huang Mao en_US
dc.contributor.author Zhang Jiawan en_US
dc.contributor.author Lu Liangfu en_US
dc.contributor.author Yang Guoqiang en_US
dc.contributor.editor Huang, Mao Lin; Nguyen, Quang Vinh; Zhang, Kang en_US
dc.date.accessioned 2010-05-28T09:38:58Z
dc.date.available 2010-05-28T09:38:58Z
dc.date.issued 2010 en_US
dc.identifier 2009000954 en_US
dc.identifier.citation Zhang Jiawan et al. 2010, 'A Novel Visualization Method for Detecting DDoS Network Attacks', in http://dx.doi.org/10.1007/978-1-4419-0312-9_12 (ed.), Springer, La Vergne, TN USA, pp. 185-194. en_US
dc.identifier.issn 978-1-4419-0311-2 en_US
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/7924
dc.description.abstract With the rapid growth of networks in size and complexity, netwok administrators today are facing more and more challenges for protecting their networked computers and other devices from all kinds of attacks. Unlike the traditional methods of analyzing textual log data, a visual interactive system called DDoSViewer is proposed in this paper for detecting DDoS kind of network attacks. DDoSViewer is specifically designed for detecting DDoS attacks through the analysis of visual patterns. We will discuss the data sources, visual structures and interactive functions that are used in the proposed visualization system. We will also discuss the advantages and disadvantages of the existing visual solutions for DDoS detection. The extraction and analysis of network data, the calculation and display of graphic elements¿ attributes and the pre-characteristics of DDoS attacks are all included in the new visualization technique. The experiments showed that the new system can detect DDoS attacks effectively en_US
dc.language en_US
dc.publisher Springer en_US
dc.relation.hasversion Accepted manuscript version en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-1-4419-0312-9_12 en_US
dc.title A Novel Visualization Method for Detecting DDoS Network Attacks en_US
dc.parent Visual Information Communication en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation La Vergne, TN USA en_US
dc.identifier.startpage 185 en_US
dc.identifier.endpage 194 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 120307 en_US
dc.personcode 0000054803;0000054810;0000054811;0000054812;990771 en_US
dc.percentage 000100 en_US
dc.classification.name Visual Communication Design (incl. Graphic Design) en_US
dc.classification.type FOR-08 en_US
dc.edition first en_US
dc.custom 2009 Visual Information Communications International en_US
dc.date.activity 20090924 en_US
dc.location.activity Sydney en_US
dc.description.keywords network security - DDoS attacks - information visualization - port scan en_US
dc.staffid en_US
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10

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