Early statistical anomaly intrusion detection of DOS attacks using MIB traffic parameters

IEEE Systems, Man and Cybernetics Society Information Assurance Workshop

Volumn , Issue , 2003, Pages 53-59

  Li, Jun ^a   Manikopoulos, C ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Computer crime; Computer displays; Computer networks; Intrusion detection; IP networks; Laboratories; Prototypes; Statistical analysis; Telecommunication traffic; Testing

Indexed keywords

COMPUTER NETWORKS; CYBERNETICS; DENIAL-OF-SERVICE ATTACK; INTERNET PROTOCOLS; INTRUSION DETECTION; LABORATORIES; MERCURY (METAL); PROBABILITY DENSITY FUNCTION; SIGNAL DETECTION; STATISTICAL METHODS; STATISTICS; TELECOMMUNICATION NETWORKS; TELECOMMUNICATION TRAFFIC; TESTING;

ANOMALY INTRUSION DETECTION; COMPUTER DISPLAY; IP NETWORKS; NETWORK INTRUSION DETECTION SYSTEMS; NEURAL NETWORK CLASSIFIER; PROBABILITY DENSITY FUNCTION (PDF); PROTOTYPES; STATISTICAL ANOMALY DETECTION;

COMPUTER CRIME;

EID: 6344258028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMCSIA.2003.1232401     Document Type: Conference Paper

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