Efficiency and Flexibility of Fingerprint Scheme Using Partial Encryption and Discrete Wavelet Transform to Verify User in Cloud Computing.

Ali A Yassin

doi:10.1155/2014/351696

Abstract

Now, the security of digital images is considered more and more essential and fingerprint plays the main role in the world of image. Furthermore, fingerprint recognition is a scheme of biometric verification that applies pattern recognition techniques depending on image of fingerprint individually. In the cloud environment, an adversary has the ability to intercept information and must be secured from eavesdroppers. Unluckily, encryption and decryption functions are slow and they are often hard. Fingerprint techniques required extra hardware and software; it is masqueraded by artificial gummy fingers (spoof attacks). Additionally, when a large number of users are being verified at the same time, the mechanism will become slow. In this paper, we employed each of the partial encryptions of user's fingerprint and discrete wavelet transform to obtain a new scheme of fingerprint verification. Moreover, our proposed scheme can overcome those problems; it does not require cost, reduces the computational supplies for huge volumes of fingerprint images, and resists well-known attacks. In addition, experimental results illustrate that our proposed scheme has a good performance of user's fingerprint verification.

Highlights

We are witnessing an increasing interest in cloud computing
We have proposed a new fingerprint verification scheme for cloud computing environment that includes onetime username anonymity and partial image encryption based on edge detection as a second factor
Partial encryption is considered one of the most promising clarifications to reduce the cost of data protection in communication network

Summary

Introduction

We are witnessing an increasing interest in cloud computing. Many Internet vendors including Amazon, Google, and Microsoft have introduced various cloud solutions to provide computing resources, programming environments, and software as services in a pay-as-you-go manner. Amazon introduces Amazon Elastic Compute Cloud (EC2) which provides computing cycle as a service and Google introduces Google App Engine (GAE) to provide programming environments as a service [1, 2]. Cloud has raised many concerns related to security, data leakage, and sharing of resources. As the heart of the security concern, authentication plays an essential role in the current cloud computing systems [3]. Our work focuses on two security fields. The first one is fingerprint verification while the second field represents partial encryption of digital image based on discrete wavelet transformation (DWT)

Methods

Results

Conclusion