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Anomaly Detection In Secure Cloud Environments Using a Self..:

, In: Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS),

Stephanakis, Ioannis M. ; Chochliouros, Ioannis P. ; Sfakianakis, Evangelos. - p. 1-9 , 2015

Link: https://dl.acm.org/doi/10.1145/2797143.2797145

RT 
T1 <cTitle>Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS)</cTitle>: T1 <Title>Anomaly Detection In Secure Cloud Environments Using a Self-Organizing Feature Map (SOFM) Model For Clustering Sets of R-Ordered Vector-Structured Features</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2797145&Exemplar=1&LAN=DE
				
A1 Stephanakis, Ioannis M.
A1 Chochliouros, Ioannis P.
A1 Sfakianakis, Evangelos
A1 Shirazi, Noorulhassan
PB ACM
YR 2015
K1 Canberra distance
K1 Jaccard distance
K1 Reduced/aggregate-ordering
K1 Secure cloud networks
K1 Self-Organizing Feature Maps (SOFMs)
K1 clustering
K1 intrusion detection
K1 Computer systems organization
K1 Architectures
K1 Distributed architectures
K1 Software and its engineering
K1 Software organization and properties
K1 Software system structures
K1 Distributed systems organizing principles
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Hardware
K1 Emerging technologies
K1 Circuit substrates
K1 Cellular neural networks
K1 Security and privacy
K1 Social and professional topics
K1 Computing/technology policy
K1 Computer crime
SP 1
OP 9
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2797143.2797145
DO https://dl.acm.org/doi/10.1145/2797143.2797145
SF ELIB - SuUB Bremen

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