A review of chaff point generation methods for fuzzy vault scheme

Bio-encryption is a concept that aims to improve the traditional cryptographic security by combining biometrics and cryptography. Fuzzy Vault scheme is a bio-encryption method which is very famous for its ability to handle fuzzy biometric data while at the same time combines them with cryptographic mechanism. Moreover, Fuzzy Vault scheme is claimed as a bio-encryption method that can be deployed in System-on-Chip (SoC) based security devices. One of the requirements that must be fulfilled by a system that can be run on SoC based devices is less resource consuming. In other words, the system must have sufficient resource efficiency or must use the fairly efficient algorithms. One of the important phases in the Fuzzy Vault scheme is chaff point generation. Chaff points are analogized as a noise used for covering valuable information inside of Fuzzy Vault. Although the chaff point generation phase is a quite important phase, it would be the phase that has the highest computation level. Hence, research on chaff point generation method to find efficient methods while maintaining the security aspects of Fuzzy Vault Scheme became an interesting topic in bio-encryption field for some researchers. This paper will discuss and also will do some comparisons toward three current chaff point generation methods that have been proposed by some researchers. Thus, this paper is expected to contribute knowledge about the characteristics of these three methods.