Detecting denial-of-service attacks through feature cross-correlation

2004 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication

Volumn , Issue , 2004, Pages 67-70

  Zhang, Zheng ^a   Manikopoulos, Constantine N ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Anomaly intrusion detection; CIDS; Cross correlation; DOS

Indexed keywords

ANOMALY INTRUSION DETECTION; CIDS; CORRELATION INTRUSION DETECTION SYSTEM; CORSS-CORRELATION;

ALGORITHMS; COMPUTER OPERATING SYSTEMS; COMPUTER SOFTWARE MAINTENANCE; CONDITION MONITORING; CORRELATION METHODS; CORRELATION THEORY; HIERARCHICAL SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; NEURAL NETWORKS; PACKET NETWORKS; STATISTICAL METHODS;

COMPUTER NETWORKS;

EID: 4143098106     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Constantine Manikopoulos and Symeon Papavassiliou, "Network Intrusion and Fault Detection: A Statistical Anomaly Approach," IEEE Communications Magazine, October, 2002, Vol. 40, No. 10, pp.76-82.
2. Z. Zhang and C. Manikopoulos, "Neural Networks in Statistical Anomaly Intrusion Detection," Journal of Neural Network World, Vol. 3, 2001, pp. 305-316.
3. ndf Annual IEEE Systems, Mans, Cybernetics Information Assurance Workshop, West Point, NY, June 2001.