Secure image deduplication using SPIHT compression
Sara Bini, S. Abirami · 2017
With the explosive growth of digital data at both individual and enterprise level, there is great need for efficiently store data and utilization of storage space. With data deduplication, it eliminates redundant data from their storage, thereby reducing the backup window, improves the efficiency of storage space and utilization of network bandwidth. Images are a good choice for deduplication, as it is one of the most widespread types of data shared and found on data storage. With users wanting to outsource their data, security of the data has become a major factor. The users lose their authority over the data once the data is uploaded to the server, as they no more have physical contact to them. Hence security is a major requirement to make sure that the data of the users are kept securely in the server without tampering, modifying or threats from malevolent users. The service providers for data storage though it is suppose to act according to the protocol, it cannot be trusted fully. The service providers for data storage are considered to be semi-honest and the data stored must be protected. For this issue a deduplication framework is deployed where the user encrypt their data to preserve privacy and make it secure against a semi-honest service provider. The goal of this paper is compress the image using Set Partitioning in Hierarchical Trees (SPIHT) algorithm, perform partial encryption on the compressed image and image hashing to achieve a secure deduplication of image in data storage and ensures security of data against a semi-honest data storage service provider or any malicious user.