File Store Splitting

Authors: Kunal P. Gaikwad, Shreyash B. Patil, Rutuja R. Sahane, Yash N. Tilay, Prof. J Y. Kapadnis

Country: India

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Abstract: In cloud computing, outsourcing data to third-party services raises security concerns, as data can be compromised by attacks from other users or systems in the cloud. To address this, we need strong security measures, but these must also ensure fast data retrieval. This paper presents a method called DROPS (Division and Replication of Data in the Cloud for Optimal Performance and Security) that tackles both security and performance issues. In DROPS, we break a file into smaller pieces and store these pieces across different cloud nodes. Each node holds only one piece of a file, so even if a node is attacked, the attacker can’t get the full information. We also spread these nodes far apart using a graph coloring technique, making it difficult for attackers to guess where the pieces are stored. DROPS does not rely on traditional encryption methods, which can be slow, making it faster. We show that it’s very unlikely for an attacker to find and compromise all the nodes holding a file. Compared to other methods, DROPS provides better security with only a small performance impact.

Keywords: Data Security, Cloud Computing, Data Replication, Performance Optimization, Data Division, Graph Coloring, Distributed Storage, Attack Resistance

Paper Id: 232573

Published On: 2025-06-08

Published In: Volume 13, Issue 3, May-June 2025

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