A Hypergraph and Arithmetic Residue-based Probabilistic Neural Network for classification in Intrusion Detection Systems

Neural Networks

Volumn 92, Issue , 2017, Pages 89-97

  Raman, M R Gauthama ^a   Somu, Nivethitha ^a   Kirthivasan, Kannan ^a   Sriram, V S Shankar ^a  

^a SASTRA UNIVERSITY   (India)

Author keywords

Arithmetic Residue (AR); Artificial Neural Network (ANN); Feature selection and classification; Hypergraph (HG); Intrusion Detection Systems (IDSs); Probabilistic Neural Network (PNN)

Indexed keywords

COMPUTER CRIME; DEEP NEURAL NETWORKS; MERCURY (METAL); NETWORK SECURITY; NEURAL NETWORKS;

FEATURE SELECTION AND CLASSIFICATION; HELLY PROPERTIES; HYPERGRAPH; INTELLIGENT INTRUSION DETECTION SYSTEMS; INTRUSION DETECTION SYSTEMS; LEARNING MODELS; PROBABILISTIC NEURAL NETWORKS; RESEARCH COMMUNITIES;

INTRUSION DETECTION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BAYESIAN LEARNING; CLASSIFICATION ALGORITHM; CLASSIFIER; COMPUTER SYSTEM; INTRUSION DETECTION SYSTEM; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; MENTAL PERFORMANCE; PERCEPTRON; PRIORITY JOURNAL; PROBABILISTIC NEURAL NETWORK; RANDOM FOREST; RECALL; SIGNAL DETECTION; BIOMETRY; PROCEDURES; STANDARDS;

BIOMETRIC IDENTIFICATION; NEURAL NETWORKS (COMPUTER);

EID: 85015887826     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2017.01.012     Document Type: Article

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