A Frame Work for Geometrical Structure Anomaly Detection Model

Jamdagni, A; Tan, T; Liu, R; Nanda, P; He, S

A Frame Work for Geometrical Structure Anomaly Detection Model

Jamdagni, A Tan, T Liu, R Nanda, P

He, S

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Publisher:: CSIRO
Publication Type:: Conference Proceeding
Citation:: The sixth annual CSIRO ICT Centre Science and Engineering Conference, 2009, pp. 109 - 110
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Jamdagni, A	en_US
dc.contributor.author	Tan, T	en_US
dc.contributor.author	Liu, R	en_US
dc.contributor.author	Nanda, P https://orcid.org/0000-0002-5748-155X	en_US
dc.contributor.author	He, S https://orcid.org/0000-0001-8962-540X	en_US
dc.contributor.editor	Zelinsky, A	en_US
dc.contributor.editor	Bird, T	en_US
dc.date	2009-11-05	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	The sixth annual CSIRO ICT Centre Science and Engineering Conference, 2009, pp. 109 - 110	en_US
dc.identifier.isbn	9780643098329	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12632
dc.description.abstract	The growth of Internet offers quality and convenience to human life, but at the same time provides a platform for hackers and criminals. The Internet security hence becomes an important issue. Intrusion Detection System (IDS) is designed to detect intrusion and also to prevent a system from being compromised. In this paper, we present a novel Geometrical Structure Anomaly Detection (GSAD) model. GSAD employs pattern recognition techniques previously used in human detection [2}.	en_US
dc.publisher	CSIRO	en_US
dc.relation.ispartof	The sixth annual CSIRO ICT Centre Science and Engineering Conference	en_US
dc.relation.ispartof	Centre Science and Engineering Conference	en_US
dc.title	A Frame Work for Geometrical Structure Anomaly Detection Model	en_US
dc.type	Conference Proceeding
utslib.location	Australia	en_US
utslib.location.activity	Australian Technology Park, NSW, Australia	en_US
utslib.for	080106 Image Processing	en_US
utslib.for	080104 Computer Vision	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
dc.location.activity	Australian Technology Park, NSW, 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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Australia	en_US
pubs.start-date	2009-11-05	en_US

Abstract:

The growth of Internet offers quality and convenience to human life, but at the same time provides a platform for hackers and criminals. The Internet security hence becomes an important issue. Intrusion Detection System (IDS) is designed to detect intrusion and also to prevent a system from being compromised. In this paper, we present a novel Geometrical Structure Anomaly Detection (GSAD) model. GSAD employs pattern recognition techniques previously used in human detection [2}.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/12632