SVC-based multivariate control charts for automatic anomaly detection in computer networks

3rd International Conference on Autonomic and Autonomous Systems, ICAS'07

Volumn , Issue , 2007, Pages

  Zhang, Zhisheng ^a   Zhu, Xuejun ^b   Jin, Jionghua ^c  

^a SOUTHEAST UNIVERSITY   (China)

^b FedEx   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Control chart; Intrusion detection; Machine learning

Indexed keywords

(ALGORITHMIC) COMPLEXITY; ANOMALY DETECTIONS; AUTONOMOUS SYSTEM (AS); COMPUTER OPERATION; GAUSSIAN; GENERAL (CO); INTERNATIONAL CONFERENCES; MULTIVARIATE CONTROL CHARTS; OPERATIONAL DATA; PROBABILITY DISTRIBUTION MODEL; SUPPORT VECTOR CLUSTERING;

ARCHITECTURAL DESIGN; COMPUTER NETWORKS; COMPUTERS; DATA STRUCTURES; ELECTRIC NETWORK TOPOLOGY; FILE ORGANIZATION; FLOWCHARTING; GAUSSIAN DISTRIBUTION; GRAPHIC METHODS; INFORMATION TECHNOLOGY; INTERNET; MATHEMATICAL MODELS; METROPOLITAN AREA NETWORKS; NETWORK PROTOCOLS; PROBABILITY; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS; STATISTICS; STRUCTURAL DESIGN; SURFACE TREATMENT; VARIATIONAL TECHNIQUES; VECTORS;

COMPUTER CONTROL;

EID: 44949223402     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CONIELECOMP.2007.99     Document Type: Conference Paper

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