Towards a Secure Online E-voting Protocol Based on Palmprint Features
Abdallah Meraoumia, Hakim Bendjenna, Mohamed Amroune, Yahia Dris · 2018
Nowadays, internet becomes very vital for any kind of information exchange. One of application which can uses internet for information exchange is the electronic voting (e-voting). Indeed, e-voting has several advantages like the accessibility for the disabled and elderly; the ease of long-distance voting; the low costs and the greater voter turnout. Thus, the challenge that oppose e-voting process are the need of securing the transmitted information which include the voters data as well as the chosen candidates. In this paper, we propose a secure crypto-biometric scheme dedicated to online e-voting system. The fuzzy commitment concept associated with the palmprint (PLP) and palm-vein (PLV) is the core of our system. In this study, to enhance the discriminating capability of the PLP and/or PLV feature vectors, we use Gabor filter with thresholding method. After that, the information, which will be sent, is encrypted using a random key which is then embedded in a biometric feature vector using a fuzzy commitment scheme. Then, in the central election server, the embedded encryption key is extracted using a new retrieval scheme, which is then used to decrypt the transmitted information before be processed. The experimental results showed that online e-voting based crypto-biometric system has higher performances in terms of accuracies and key retrieval.