A biologically inspired denial of service detector using the random neural network

2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, MASS

Volumn , Issue , 2007, Pages

  Loukas, Georgios ^a   Öke, Gülay ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; DECISION MAKING; INFORMATION SCIENCE; INTERNET; PROBLEM SOLVING; RANDOM PROCESSES; SECURITY OF DATA; SENSORS; TRANSMISSION CONTROL PROTOCOL; VEGETATION;

AUTONOMIC COMMUNICATIONS; BAYESIAN DECISION MAKING; BIOLOGICAL NEURONS; BIOLOGICALLY INSPIRED; DENIAL-OF -SERVICE; INPUT FEATURES; LIKELIHOOD ESTIMATION; NETWORK TRAFFICS; OPTIMAL SOLUTIONS; RANDOM NEURAL NETWORKS; SENSOR SYSTEMS; STATISTICAL VARIABLES;

NEURAL NETWORKS;

EID: 50249130274     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MOBHOC.2007.4428683     Document Type: Conference Paper

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