Approach for Ensuring Fragmentation and Integrity of Data in SEDuLOUS

With the rapid adoption of cloud services, more and more data are being uploaded on the cloud platform. These data are under threat from various threat actors constantly researching to steal, corrupt, or get control over the data. The threat actors are not only limited to malicious attackers, but these also include curious service providers, social activists, business entities, and nations. They pose a serious risk to cloud services. There are various approaches to protect data at various levels. Division and replication is one such approach where data are divided into chunks and spread over the cloud to reduce the risk of data leakage and simultaneously increase the accessibility. Under division and replication approach, SEDuLOUS provides a heuristic algorithm for data placement in a distributed cloud environment. In this research work, we have provided a comprehensive analysis on cloud data storage services and associated security issues, analysis of SEDuLOUS algorithm, and methodology to improve the SEDuLOUS by specifying minimum fragments to ensure fragmentation of all files and hashing of each chunk to identify the compromised storage nodes.