Application of ensemble decision tree classifiers to zig bee device network authentication using RF-DNA fingerprinting

9th International Conference on Cyber Warfare and Security 2014, ICCWS 2014

Volumn , Issue , 2014, Pages 176-184c

  Patel, Hiren ^a   Temple, Michael ^a   Baldwin, Rusty ^b   Ramsey, Benjamin ^a  

^a AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

^b Riverside Research   (United States)

Author keywords

Adaboost; Authentication; GRLVQI; MDA ML; Random forest; RF DNA fingerprinting; Verification; ZigBee

Indexed keywords

AD HOC NETWORKS; ADAPTIVE BOOSTING; AUTHENTICATION; DECISION TREES; DISCRIMINANT ANALYSIS; DNA; INTELLIGENT CONTROL; RELIABILITY ANALYSIS; SOFTWARE ARCHITECTURE; VECTOR QUANTIZATION; VERIFICATION; ZIGBEE;

DECENTRALIZED ARCHITECTURE; DNA FINGERPRINTING; GENERALIZED RELEVANCE LEARNING VECTOR QUANTIZATIONS; GRLVQI; INDUSTRIAL CONTROL SYSTEMS; MDA/ML; MULTIPLE DISCRIMINANT ANALYSIS; RANDOM FORESTS;

SIGNAL TO NOISE RATIO;

EID: 84931091579     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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