Secured Cloud Voting System Using Denoised Image Steganography
Roneeta Purkayastha, Abhishek Roy, Tulip Kumar Saha, Arindam BanerjeeIntroduction:
The electoral system ensures that the administrative machinery functions smoothly at all levels, including the panchayat, municipal, state, and central levels. However, the conventional electoral system suffers from security limitations, including electoral fraud, vote manipulation, and ballot stuffing. The major objective of this research is to address issues with the conventional electoral system and to provide a secure voting environment for the voting community.
Methods:
This study proposes a Cloud Computing-based Voting System (CVS) with an integrated interface. The primary focus of the proposed system is voter authentication, which is an important component. The authors have implemented a hybrid security system for voter authentication that leverages multimodal biometrics, image processing, steganography, and encryption techniques across three biometric image types: palmprint, face, and fingerprint.
Results:
The research findings suggest that the biometric image quality improved after applying hybrid security techniques. This is indicated by the Peak Signal-to-Noise Ratio (PSNR) values of 51.1769 dB for the palmprint image, 12.1418 dB for the facial image, and 4.2350 dB for the fingerprint image. For an m×m image with n-bit pixels, the total time complexity is O(m2n).
Discussion:
The proposed hybrid security method improves overall biometric image quality and provides a secure way to store and communicate biometric image data.
Conclusion:
For secure biometric data transmission and to provide an integrated interface for voting, a secure CVS has been suggested. This enhances the overall electoral process and supports efficient electronic governance service delivery to citizens.