Virtualization technology is the base technology used in Cloud computing. Therefore, virtualization enables Cloud computing to provide hardware and software services to the users on demand. Actually, many companies migrates to the Cloud computing for many reasons such as capabilities of processor, bus speed, size of storage, memory and managed to reduce the cost of dedicated servers. However, virtualization and Cloud computing contain many security weaknesses that affects the biometric data confidentiality in the Cloud computing. Those security issues are VM ware escape, hopping, mobility, diversity monitoring and etc. Furthermore, the privacy of a particular user is an issue in biometric data i.e. the face reorganization data for a famous and important people. Therefore, this paper proposed biometric encryption to improve the confidentiality in Cloud computing for biometric data. Also, this paper discussed virtualization for Cloud computing, as well as biometrics encryption. Indeed, this paper overviewed the security weaknesses of Cloud computing and how biometric encryption can improve the confidentiality in Cloud computing environment. Apart from this, confidentiality is enhanced in Cloud computing by using biometric encryption for biometric data. The novel approach of biometric encryption is to enhance the biometric data confidentiality in Cloud computing.

Medical image survivability and confidentiality is an important concern for digital medical image storing in healthcare institution. Survivability issue arises when a storage server goes down due to unexpected disasters whilst medical image confidentiality issue arises due to disclosed data by third party on a conventional storage. This study explores secret sharing threshold scheme: Rabin's IDA, and Shamir's SSA, as potential approaches to address these issues. Currently, these schemes are widely known for providing data survivability and confidentiality in other fields. However, the aim of this project is to apply these secret sharing schemes through MIaDPACS to provide survivability and confidentiality on digital medical image. Pixels are extracted from the image, encoded and dispersed using Rabin's IDA into distributed storages. In addition, the secret key used in Rabin's IDA is also dispersed through Shamir's SSA. To reconstruct back the original image, it only requires a subset of the dispersed files with numbers equals to a threshold defined during dispersal. Experimental results conducted have shown that MIaDPACS able to provide survivability and confidentiality for digital medical image.