Joint Data Integrity and Loss Recovery Mechanism for Secure Storage in Cloud Computing
Keywords:
Data Integrity, Loss Recovery, Secure Storage, Cloud Computing, Machine LearningAbstract
Data outsourcing lowers the cost of maintenance and storage, but the user is unaware of the location of their data. Since cloud data is uncontrollable, new security issues must be addressed. Despite much research in the literature, there are still significant problems with secure storage and data integrity for shared dynamic data. Intending to solve these issues, this research develops a data security and integrity methodology that also allows for data loss recovery in the cloud using the efficiency of Machine Learning (ML) algorithms. When a cloud fails due to a disaster, an attack, or data loss and corruption, the data loss recovery process helps to recover the lost data and restore the cloud backup.
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