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Open AccessArticle

Analyzing and Comparing the Performance of National Biometric eID Card in Heavy Cryptographic Applications

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Faculty of Technical Sciences, University Ismail Qemali, 9401 Vlora, Albania
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Faculty of Electrical and Computer Engineering, University of Prishtina, 10000 Prishtina, Kosovo
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Author to whom correspondence should be addressed.
Appl. Syst. Innov. 2018, 1(4), 37; https://doi.org/10.3390/asi1040037
Received: 27 August 2018 / Revised: 15 September 2018 / Accepted: 21 September 2018 / Published: 27 September 2018
Today, we are witnessing increased demand for more speed and capacity in the Internet, and more processing power and storage in every end user device. Demand for greater performance is present in every system. Electronic devices and their hosted applications need to be fast, but not to lose their main security features. Authentication and encryption are the main processes in the security aspect, and are required for a secure communication. These processes can be executed in different devices, among them PCs, microprocessors, microcontrollers, biometric cards or mobile devices. Biometric identity cards are becoming increasingly popular, challenging traditional PC devices. This paper compares two processing systems, the efficiency of encryption and signatures on the data executed in national identity biometric card versus PC, known also as the match-on-card versus the match-off-card. It considers how different parameters impact the process and the role they play on the overall process. The results, executed with a predefined set of test vectors, determine which processing system to use in a certain situation. Final conclusions and recommendations are given taking into consideration the efficiency and security of the data. View Full-Text
Keywords: cryptography; digital signature; match-on-card; match-off-card; eID biometric card cryptography; digital signature; match-on-card; match-off-card; eID biometric card
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Krasniqi, G.; Rama, P.; Rexha, B. Analyzing and Comparing the Performance of National Biometric eID Card in Heavy Cryptographic Applications. Appl. Syst. Innov. 2018, 1, 37.

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