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What is Hadoop Map Reduce Framework

Handbook of Research on Securing Cloud-Based Databases with Biometric Applications
A software framework for processing large data sets in parallel across a distributed cluster of processors or stand-alone computers.
Published in Chapter:
Biometric Authentication for Cloud Computing
Tarunpreet Bhatia (Thapar University, India) and A. K. Verma (Thapar University, India)
DOI: 10.4018/978-1-4666-6559-0.ch010
Abstract
Cloud computing is a way of providing unlimited storage capacity and enhancing parallel processing capabilities without investing in new infrastructure or licensing new software. Designing a secure data access for cloud computing platform is a big challenge as more and more information is placed over cloud by individuals and companies. It is not enough to authenticate a device, or even a user to a device. Cloud computing requires a level of trust that can only be possible through biometric identity assurance, as biometrics offer the unique ability to bind an identity to an actual user, not just to a logical or physical token or credential. This chapter evaluates cloud security by identifying unique security requirements and attempts to present viable solutions based on biometrics to eliminate possible threats. It provides a comprehensive and structured overview of biometric authentication for enhancing cloud security.
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