Data deduplication is a process that identifies and removes duplicate copies of data, storing only unique instances. This technique significantly reduces storage requirements and bandwidth consumption by replacing redundant data blocks with pointers to a single stored copy. It operates by analyzing data at a granular level, often block-by-block, to ascertain identical content regardless of file name or location. For large-scale data systems, this method provides substantial operational efficiencies and cost savings.
Context
Within digital asset infrastructure, data deduplication becomes relevant for optimizing the storage footprint of blockchain nodes or decentralized file systems. As blockchain data grows, efficient data management strategies like deduplication can mitigate the escalating costs associated with maintaining full node copies or archival records for compliance purposes. Its application helps reduce the overhead for network participants and data providers, contributing to the scalability and economic viability of distributed ledgers.
This research introduces a blockchain-smart contract system using identity-based broadcast encryption to enable private, verifiable cloud data deduplication and auditing, removing central trust.
We use cookies to personalize content and marketing, and to analyze our traffic. This helps us maintain the quality of our free resources. manage your preferences below.
Detailed Cookie Preferences
This helps support our free resources through personalized marketing efforts and promotions.
Analytics cookies help us understand how visitors interact with our website, improving user experience and website performance.
Personalization cookies enable us to customize the content and features of our site based on your interactions, offering a more tailored experience.
