Visualization of flow data based on clustering technique for identifying network anomalies

2009 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2009 - Proceedings

Volumn 2, Issue , 2009, Pages 973-978

  Singh, Mayank Pal ^a   Subramanian, N ^a   Rajamenakshi, ^a  

^a Department of Computer Network and Internet Engineering   (India)

Author keywords

Clustering; DataMining; DS; Netflow; Visualization

Indexed keywords

ANOMALOUS EVENTS; CLUSTERING TECHNIQUES; DATA SETS; DS; FILTERING TECHNIQUE; FLOW DATA; IN-NETWORK; IP ADDRESSS; K-MEANS; NETFLOWS; NETWORK ANOMALIES; NETWORK FLOWS; NETWORK PARAMETERS;

DATA FLOW ANALYSIS; DATA VISUALIZATION; DIELECTRIC RELAXATION; FLOW VISUALIZATION; INDUSTRIAL ELECTRONICS; INTERNET PROTOCOLS; INTRUSION DETECTION;

CLUSTER ANALYSIS;

EID: 76249132355     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIEA.2009.5356304     Document Type: Conference Paper

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