Double-layer secret-sharing system involving privacy preserving biometric authentication
In this chapter, we proposed a new way to preserve the privacy of user by the combination of steganography and biometrics template protection. The secret image to be shared is protected by double layers of steganography: embedding it into the transformed fingerprint images, which are to be hidden into casual images to prevent unauthorised access when stored online. In order for authorised users to recover the secret image, a matching between their fingerprint and the version into which the secret image is embedded is performed in the transformed domain of the cancellable template, which is used to protect the raw biometric information. With this new framework, the problem of dishonest participant that Yang etal. mentioned can be fully resolved since the stego-images are stored in a cloud server. Moreover, this system is no longer dependent on cryptographic key. The main contribution of this chapter is to present a novel scheme that utilizes the power of not only steganography but also biometrics to protect the identity of the user. Although the results produced in experiments are fairly accepted, it is believed that certain factors can be improved to increase the quality of the outcome images, such as: using a wider field to process full range of the pixel values and generating output of PNG format to prevent the degradation caused by lossy compression. In the near future, looking for an appropriate algorithm and developing new techniques to apply in this system are promising research topics. In addition, in order to better evaluate the performance of the system, a new metric that shows the relationship of biometric data matching and steganographic embedding should be devised.
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