Biometric Security in Mobile Cloud Computing



Abstract

This Literature Review Survey paper leads to describe the concepts of Biometric Security in Mobile Cloud Computing, and aims at making a contribution in the survey related to this topic. The goal of this Survey is to contribute to the trend of research efforts and the calibration of technical capabilities for the security of Mobile Cloud Computing using behavioral Biometrics. The ultimate objective is to push the technology forward, to measure the state-of-the-art, and find the most favorable algorithmic approaches. The project will give contributions that show and emphasize the reviews of bi-cryptography in cloud computing security over for mobiles accessing the cloud through android designed applications using the hadoop environment

Keywords

biometric solutions, mobile cloud computing, Handwriting recognition systems, Apache Hadoop

I. INTRODUCTION

Cloud computing is a class of computing which is thought to be like a super computer having the ability to distribute, collect and process information and data effectively. Mobile applications running over the cloud computing are expected to gain popularity because of the reason that it allows the users and clients to carry out their tasks from anywhere in the world, the only thing they need to have is internet.

Although, this is an exceptional advantage mobile cloud computing provides, security still stands as an important matter to be resolved (Senk & Dotzler, 2011).

It has now become more sophisticated and advanced with the enhancements being made in the name of cloud computing.

A. Background

Most common knowledge based techniques for security; password and PIN (personal identification number) have been found vulnerable to attacks and can without problems be compromised, observed, shared, forgotten or stolen. Therefore, physical protection of data is not possible in the cloud computing scenario because the basic flaws found in these techniques get more exposed in the world of mobile cloud computing. Biometric individual recognition techniques are used to guarantee privacy while accessing the cloud by improving security (Vivaracho & Pascual, 2010).

According to the research findings of the Alhussain et.al (2010), biometric technological solutions offer privacy, availability along with compatibility with mobile a wide range of devices and many other relative benefits. Increased capabilities of mobile phones with biometric physiological features like voice, fingerprint and iris and behavioral feature like eye blinking and keystroke capture make this solution a remarkable alternative for user authentication.

Mobile Cloud Computing provide a convenient and rapid method for users to access and receive data from the cloud, such convenient and rapid methods means accessing cloud computing resources effectively by using mobile devices. Mobile devices are no longer used only for the simple purposes an electronic device serves but with the advancements being made in the world of technology, the scope of mobile technology has received a real boost.

Mobile phones require a framework to run an application on the cloud computing. This survey will make use of Apache Hadoop as a framework to create the application. It is regarded as open source framework considered best suitable for distributed computing (Omri ...