ISSN: 2996-671X
Authors: Hammed M and Nureni OA*
Cloud computing is an important tools for modern business settings as a computing resource which shares and delivers over the internet and it is also based on customers’ demand. Cloud storage is one of the utility services provided in a cloud computing environment by cloud service vendors to serve as a storage pool and for sharing resources. Cloud storage reduces customers’ expenses for pursuing and maintaining the storage infrastructure, only the amount of storage requested can be scaled up and down in accordance with customers’ demands. However, the large data size of cloud computing necessitated a reduction of data volumes which assisted cloud computing service providers in reducing the cost of maintaining large cloud storage and saving energy consumption. Deduplication methods with different concepts such as checksum, encryption techniques biometric systems etc. have been proposed by different studies. However, the literature revealed that some of the techniques used for deduplication were not adequate for the process due to different weaknesses which some of the examined studies failed to identify as a part of challenges. An authentication scheme was proposed in this study which used an Apriori associative rules mining algorithm augmented with optimization techniques that improved the processing speed of the Apriori algorithm. The method properly compared input data and the stored data to detect duplicates, thus, it enhanced and maintained storage efficiency in cloud storage.
Keywords: Data Duplication; Deduplication; Authentication Scheme; Apriori Algorithm; Breadth First-Search Algorithm
