An unsupervised approach for detecting DDoS attacks based on traffic-based metrics

IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

Volumn 2005, Issue , 2005, Pages 462-465

  Lu, Wei ^a   Traore, Issa ^a  

^a UNIVERSITY OF VICTORIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER CRIME; COMPUTER NETWORKS; INTERNET; MATHEMATICAL MODELS; NETWORK PROTOCOLS;

DISTRIBUTED DENIAL OF SERVICE (DDOS); GAUSSIAN MIXTURE MODEL (GMM); INTRUSION DECISIONS; NETWORKING ENVIRONMENT;

COMPUTER SYSTEMS;

EID: 33746798964     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACRIM.2005.1517326     Document Type: Conference Paper

References (3)

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2. S. Mohiuddin, S. Hershkop, R.Bhan and S. Stolfo, "Defending Against a Large Scale Denial-of-Service Attack," In proceedings of the 2002 IEEE Workshop on Information Assurance and Security, United States Military Academy, West Point, NY, pp.1555-1562, 17-19 June 2002.
3. D., Titterington, A., Smith, and U., Makov, Statistical Analysis of Finite Mixture Distributions, John Wiley & Sons, New York, 1985.