A Novel Anomaly-network Intrusion Detection System Using ABC Algorithms

Bae, C; Yeh, W; Shukran, MA; Chung, YY; Hsieh, T

A Novel Anomaly-network Intrusion Detection System Using ABC Algorithms

Bae, C Yeh, W Shukran, MA Chung, YY Hsieh, T

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Publisher:: Icic International
Publication Type:: Journal Article
Citation:: International Journal Of Innovative Computing Information And Control, 2012, 8 (12), pp. 8231 - 8248
Issue Date:: 2012-01

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Field	Value	Language
dc.contributor.author	Bae, C	en_US
dc.contributor.author	Yeh, W	en_US
dc.contributor.author	Shukran, MA	en_US
dc.contributor.author	Chung, YY	en_US
dc.contributor.author	Hsieh, T	en_US
dc.date.issued	2012-01	en_US
dc.identifier.citation	International Journal Of Innovative Computing Information And Control, 2012, 8 (12), pp. 8231 - 8248	en_US
dc.identifier.issn	1349-4198	en_US
dc.identifier.uri	http://hdl.handle.net/10453/22862
dc.description.abstract	Network Intrusion Detection Systems (NIDSs) are increasingly in demand today as the widespread of networked machines and Internet technologies emerge rapidly. As a result, many unauthorized activities by external and internal attackers within organizatio	en_US
dc.publisher	Icic International	en_US
dc.relation.ispartof	International Journal Of Innovative Computing Information And Control	en_US
dc.subject.classification	Industrial Engineering & Automation	en_US
dc.title	A Novel Anomaly-network Intrusion Detection System Using ABC Algorithms	en_US
dc.type	Journal Article
utslib.citation.volume	12	en_US
utslib.citation.volume	8	en_US
utslib.for	0803 Computer Software	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
utslib.for	09 Engineering	en_US
dc.location.activity	Chennai, India
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 Software
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.issue	12	en_US
pubs.volume	8	en_US

Abstract:

Network Intrusion Detection Systems (NIDSs) are increasingly in demand today as the widespread of networked machines and Internet technologies emerge rapidly. As a result, many unauthorized activities by external and internal attackers within organizatio

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

http://hdl.handle.net/10453/22862