A Novel Visualization Method for Detecting DDoS Network Attacks

Che, M; Huang, M; Zhang, J; Lu, L; Yang, G

A Novel Visualization Method for Detecting DDoS Network Attacks

Che, M Huang, M Zhang, J Lu, L Yang, G

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Publisher:: Springer
Publication Type:: Chapter
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.
Issue Date:: 2010

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Field	Value	Language
dc.contributor.author	Che, M	en_US
dc.contributor.author	Huang, M	en_US
dc.contributor.author	Zhang, J	en_US
dc.contributor.author	Lu, L	en_US
dc.contributor.author	Yang, G	en_US
dc.contributor.editor	Huang, Mao Lin; Nguyen, Quang Vinh; Zhang, Kang	en_US
dc.date	20090924	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.publisher	Springer	en_US
dc.relation.ispartof	Verified OK	en_US
dc.relation.ispartof	Visual Information Communication	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.rights	This is a post-peer-review, pre-copyedit version of an article published in Verified OK. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-1-4419-0312-9_12.	en_US
dc.rights	This is a post-peer-review, pre-copyedit version of an article published in Visual Information Communication. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-1-4419-0312-9_12.	en_US
dc.subject	network security - DDoS attacks - information visualization - port scan	en_US
dc.subject.classification	Visual Communication Design (incl. Graphic Design)	en_US
dc.title	A Novel Visualization Method for Detecting DDoS Network Attacks	en_US
dc.type	Chapter
utslib.location	La Vergne, TN USA	en_US
utslib.citation.startpage	185	en_US
utslib.citation.endpage	194	en_US
utslib.identifier.org	FEIT.School of Systems, Management and Leadership	en_US
utslib.for	120307	en_US
utslib.percentage	000100	en_US
utslib.citation.edition	first	en_US
dc.location.activity	Sydney	en_US
utslib.copyright.status	open_access

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

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http://hdl.handle.net/10453/7924