Purvashi Baynath, Sunjiv Soyjaudah, Maleika Heenaye-Mamode Khan
Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 651-661, 2019, DOI:10.31209/2018.100000060
Abstract The goal of this paper is (i) adopt fusion of features (ii) determine the best
method of feature selection technique among ant Colony optimisation, artificial
bee colony optimisation 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. More >
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