引用
LaTex
@INPROCEEDINGS{6417479,
author={D. Banerjee and Jiang Li and Jia Di and D. R. Thompson},
booktitle={7th International Conference on Communications and Networking in China},
title={Feature selection for RFID tag identification},
year={2012},
volume={},
number={},
pages={218-221},
keywords={optimisation;radiofrequency identification;security;FMR;FNMR;MOOP;RFID tag identification;false match rate;false non-match rate;feature selection;multi-objective optimization;radio frequency identification;security requirements;Cloning;Fingerprint recognition;Magnetic resonance;Object recognition;Optimization;Radiofrequency identification;Security;Featuer selection;RFID;Tag identification},
doi={10.1109/ChinaCom.2012.6417479},
ISSN={},
month={Aug},}
Normal
D. Banerjee, Jiang Li, Jia Di and D. R. Thompson, “Feature selection for RFID tag identification,” 7th International Conference on Communications and Networking in China, Kun Ming, 2012, pp. 218-221.
doi: 10.1109/ChinaCom.2012.6417479
keywords: {optimisation;radiofrequency identification;security;FMR;FNMR;MOOP;RFID tag identification;false match rate;false non-match rate;feature selection;multi-objective optimization;radio frequency identification;security requirements;Cloning;Fingerprint recognition;Magnetic resonance;Object recognition;Optimization;Radiofrequency identification;Security;Featuer selection;RFID;Tag identification},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6417479&isnumber=6417432
摘要
multi-objective optimization (MOOP)
原理：
a tag is identified by matching a set of unique characteristics measured from the tag to previous stored copies in a database
AIM：
select the most effective characteristics for tag identification
- false match rate (FMR)
- false non-match rate (FNMR)
a set of best possible FMR and FNMR performances
meet specific security requirements
