An anomaly detection scheme based on machine learning for WSN

2009 1st International Conference on Information Science and Engineering, ICISE 2009

Volumn , Issue , 2009, Pages 3959-3962

  Xiao, Zhenghong ^a,b   Liu, Chuling ^a   Chen, Chaotian ^a  

^a GUANGDONG POLYTECHNIC NORMAL UNIVERSITY   (China)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Anomaly detection; Bayesian classification; Machine learning; WSN

Indexed keywords

ACCURACY RATE; ANOMALY DETECTION; BAYESIAN CLASSIFICATION; DETECTION RATES; FALSE POSITIVE RATES; INTRUSION DETECTION SCHEME; MACHINE-LEARNING; NETWORK ATTACK; NUMBER OF SAMPLES; ON-MACHINES; RESEARCH ISSUES;

BAYESIAN NETWORKS; COMPUTER CRIME; INFORMATION SCIENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; WIRELESS SENSOR NETWORKS;

INTRUSION DETECTION;

EID: 77952750486     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICISE.2009.235     Document Type: Conference Paper

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