Intrusion detection based on density level sets estimation

Proceedings of the 2008 IEEE International Conference on Networking, Architecture, and Storage - IEEE NAS 2008

Volumn , Issue , 2008, Pages 173-174

  Jiang, Zhong ^a   Luosheng, Wen ^a   Yong, Feng ^a   Ye, Chun Xiao ^a  

^a CHONGQING UNIVERSITY   (China)

Author keywords

Anomaly detection; Classification; Density level set; Unsupervised learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; FEEDFORWARD NEURAL NETWORKS; FINANCIAL DATA PROCESSING; IMAGE SEGMENTATION; LEARNING SYSTEMS; LEVEL MEASUREMENT; PUBLIC WORKS; RADIAL BASIS FUNCTION NETWORKS;

ANOMALY DETECTION; BINARY CLASSIFICATION; CLASSIFICATION; DATA DENSITIES; DENSITY LEVEL SET; DETECTION RATES; FALSE POSITIVE RATE; IMMUNE NETWORKS; INTERNATIONAL CONFERENCES; LEARNING PROBLEMS; LEVEL SETS; MACHINE-LEARNING; MULTIPLE GRANULARITIES; ONE WAY; REAL NETWORKS; UNSUPERVISED LEARNING;

INTRUSION DETECTION;

EID: 51849122110     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NAS.2008.41     Document Type: Conference Paper

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