Improving File Storage Mechanism using Intelligent Data Fragmentation Model (IDFM) Algorithm and Providing Confidentiality of Data in Cloud Computing Environment
K. Rajalakshmi, M. Sambath, Linda Joseph · International Journal of Engineering Trends and Technology · 2022
Cloud computing is a cutting-edge technology that offers users a useful environment where they can quickly and easily obtain and release reconfigurable computing resources. Cloud data security issues have attracted much attention recently since it is an integral part of cloud computing that is essential to make data and its related operations secure and safe. This study focuses on improving data confidentiality in a cloud environment by using an Intelligent Data Fragmentation Model (IDFM) that securely divides the file into different distinct fragments and generates the fact file for recovering the data in case of any catastrophic circumstances. A key problem in this research is the difficulty of ensuring confidentiality that prevents unauthorized disclosure of information, which could be achieved using fragmentation models that have their own computational overhead, key management concerns, and issues in the choice of fragment threshold. Data storage is the central part of cloud computing, where confidentiality is rendered a critical issue to be addressed. The proposed Intelligent Data Fragmentation Model (IDFM) works in two phases, wherein phase I initially concentrates on dividing the data file into smaller chunks according to some random values. Phase II concentrates on recovering the original file from the fact file in case of any disastrous situation. According to experimental results, an intermediate level of confidentiality may be reached using this model, and the efficiency of IDFM is O (n) for any number of data files.