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DDAS: A Lightweight Hash-Based Framework for Real-Time Duplicate Detection in Multi-Tenant Web Applications
As the need for storage grows in multi-tenant web apps, redundant data ingestion is still a major problem. This paper presents the Data Download Duplicate Alert System (DDAS), a streamlined framework designed to alleviate storage inefficiencies via real-time duplicate detection. DDAS uses SHA-256 cryptographic hashing in a Flask-based backend to make unique digital signatures for each file that comes in. Before allocating storage, these hashes are checked against a central MySQL relational database. The results of the experiment show that DDAS works well to get rid of unnecessary uploads while keeping latency to a minimum. This study offers a scalable, low-overhead way to improve data integrity and make better use of storage in distributed environments.
Basavakruti Umesh Mantale · University of Mumbai
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