Advances in Information Security, Privacy, and Ethics Machine Learning and Cryptographic Solutions for Data Protection and Network Security(2024)
Department of Computing Technologies
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摘要
Due to the heightened expenses associated with maintaining extensive data storage infrastructure on-premises, many organizations face challenges in accommodating large volumes of data within their facilities. Data outsourcing proves beneficial for users as it alleviates the responsibility of storing and managing the data. While efforts have been made to establish a secure and reliable cloud platform for data storage, persistent concerns linger regarding the confidentiality and integrity of data and applications stored in the cloud. Consequently, there exists a critical necessity to establish a robust security framework for cloud-based data storage. In response to this, a proposal is presented for a secure block-level cloud storage system, leveraging the efficient randomized round encryption protocol for encryption and decryption, ensuring the storage and management of sensitive data in a secure manner.