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Feature Selection and Representation of Evolutionary Algorithm on Keystroke Dynamics


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Abstract

The goal of this paper is (i) adopt fusion of features (ii) determine the best method of feature selection technique among ant Colony optimization, artificial bee colony optimization, and genetic algorithm. The experimental results reported that ant colony Optimisation is a promising techniques as feature selection on Keystroke Dynamics as it outperforms in terms of recognition rate for our inbuilt database where the distance between the keys has been considered for the password derivation with recognition rate 97.85%. Finally, the results have shown that a small improvement is obtained by fused features, which suggest that an effective fusion is necessary.


Keywords


Pages

Total Pages: 11

DOI
10.31209/2018.100000060


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Published

Online Article

JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present




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