An improved wavelet analysis method for detecting DDoS attacks

Lu, LF; Huang, ML; Orgun, MA; Zhang, JW

An improved wavelet analysis method for detecting DDoS attacks

Lu, LF Huang, ML

Orgun, MA Zhang, JW

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2010 4th International Conference on Network and System Security, NSS 2010, 2010, pp. 318 - 322
Issue Date:: 2010-12-27

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Field	Value	Language
dc.contributor.author	Lu, LF	en_US
dc.contributor.author	Huang, ML https://orcid.org/0000-0002-6896-6480	en_US
dc.contributor.author	Orgun, MA	en_US
dc.contributor.author	Zhang, JW	en_US
dc.date.issued	2010-12-27	en_US
dc.identifier.citation	Proceedings - 2010 4th International Conference on Network and System Security, NSS 2010, 2010, pp. 318 - 322	en_US
dc.identifier.isbn	9780769541594	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16129
dc.description.abstract	Wavelet Analysis method is considered as one of the most efficient methods for detecting DDoS attacks. However, during the peak data communication hours with a large amount of data transactions, this method is required to collect too many samples that will greatly increase the computational complexity. Therefore, the real-time response time as well as the accuracy of attack detection becomes very low. To address the above problem, we propose a new DDoS detection method called Modified Wavelet Analysis method which is based on the existing Isomap algorithm and wavelet analysis. In the paper, we present our new model and algorithm for detecting DDoS attacks and demonstrate the reasons of why we enlarge the Hurst's value of the self-similarity in our new approach. Finally we present an experimental evaluation to demonstrate that the proposed method is more efficient than the other traditional methods based on wavelet analysis. © 2010 IEEE.	en_US
dc.relation.ispartof	Proceedings - 2010 4th International Conference on Network and System Security, NSS 2010	en_US
dc.relation.isbasedon	10.1109/NSS.2010.23	en_US
dc.title	An improved wavelet analysis method for detecting DDoS attacks	en_US
dc.type	Conference Proceeding
utslib.for	080303 Computer System Security	en_US
dc.location.activity	Melbourne, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

Wavelet Analysis method is considered as one of the most efficient methods for detecting DDoS attacks. However, during the peak data communication hours with a large amount of data transactions, this method is required to collect too many samples that will greatly increase the computational complexity. Therefore, the real-time response time as well as the accuracy of attack detection becomes very low. To address the above problem, we propose a new DDoS detection method called Modified Wavelet Analysis method which is based on the existing Isomap algorithm and wavelet analysis. In the paper, we present our new model and algorithm for detecting DDoS attacks and demonstrate the reasons of why we enlarge the Hurst's value of the self-similarity in our new approach. Finally we present an experimental evaluation to demonstrate that the proposed method is more efficient than the other traditional methods based on wavelet analysis. © 2010 IEEE.

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http://hdl.handle.net/10453/16129