ABSTRACT
Cloud computing is an eminent computing that conveys a large pool of resources as services to customers, handled by an enormous network of servers though the Internet. Because an enormous amount of resources is stored in the cloud and is made available to the public, securing and maintaining such large amounts of data is a major challenge. This chapter attempts to address this challenge. In terms of security, biometric security has the potential to raise cloud computing security to the next level since biometrics ensures a very high level of security and ensures that the provided services are available only to a legal or authorized user. This is achieved by using one or more of the user's biometric trait(s), which provides a greater level of assurance to the user. Even though biometric traits are unique, sensitive and serious issues might arise if any dishonest individuals who take care of the stored biometric template database misuse the data. This security threat is addressed by the introduction of the biocryptics concept in this chapter. Further, this concept involves measuring the similarity between different encrypted images. To measure the distance, various distance similarity measure functions are used. Selecting an appropriate distance measure for a particular task becomes crucial since success may depend critically on this choice. The existing work involves computation overhead, memory consumption and delay. The proposed scheme provides a new solution for coping with these difficulties by using biocryptics to secure the data in the cloud and to use less memory storage space. The new scheme also enables the user to choose the best similarity measure for both biometric data and biocryptic data.
