Secure Electronic Voting System using Swarm Intelligence

Abstract One of the important systems for society today is electronic voting system. All people around world are looking transparency and integrity, they afraid fraud. Electronic system confirming true identity a person. Fingerprint identification may be preferred over traditional methods (e.g. passwords, smart-cards) because its information virtually impossible to steal. This paper introduces secure election depending on swarm intelligence techniques, especially PSO firefly algorithms. The proposed successful within 500 iterations find best features fingerprint. Best steganographic positions found by algorithm. has been reduced time extraction one fingerprint from (1.1 sec) (0.36 sec). Firefly algorithm raised PSNR stegocovers up (66.246-69.447)dB. percentage matching all bands at receiver side 100%.