Providing Authentication by Using Biometric Multimodal Framework for Cloud Computing

As Cloud Computing has been spreading widely, users and service providers enables to use resource or service cheaply and easily without owning all the resource needed. However, Cloud Computing has some security issues such as virtualization technology security, massive distributed processing technology, service availability, massive traffic handling, application security, access control, and authentication and password. User authentication among them requires a high-guaranteed security. Identification of humans through their characteristics and traits is referred as biometrics. It is used in the area where authentication of individual or to have supervision upon individuals in a group. Each and every individual have unique biometric characteristic which cannot be forgotten, stolen or lost. But in token based or knowledge based security mechanism there are chances that it can be lost or stolen. The following the most commonly used biometric authentication and recognition trait: faces, fingerprints, irises, palm-prints, speech etc. This paper comprehensively reviews multimodal recognition using ear pattern and finger print data, it is concluded that further research should investigate fast and fully automatic ear-finger print multimodal systems robust to occlusions and deformations.