A Multi-Client Secure Cloud Framework with Enhanced Storage Efficiency and Latency Reduction

Kothakota Yatheesh; T. RajyaLakshmi

A Multi-Client Secure Cloud Framework with Enhanced Storage Efficiency and Latency Reduction

Authors: Kothakota Yatheesh, T. RajyaLakshmi

Unique Paper ID: 175790
Volume: 11
Issue: 11
PageNo: 5036-5038

Keywords: Cloud computing Distributed Point Function (DPF) Keyword search Garbled Bloom Filter Cuckoo Hash Segmentation technique Wegman authentication Data integrity Data compression algorithm.

Abstract:
Cloud servers provide storage and computational resources at lower costs but face challenges regarding data security and efficiency. This project employs a multi-client Distributed Point Function (DPF)-based keyword search scheme with algorithms like Garbled Bloom Filter and Cuckoo Hash to address these challenges. The segmentation technique optimizes search latency, while Wegman authentication ensures data integrity. To enhance storage efficiency, a data compression algorithm is introduced, and to reduce repeated computation, a caching mechanism is implemented for encrypted search results. These extensions significantly minimize latency, computational costs, and storage requirements, enabling secure and efficient cloud-based keyword searches. The proposed system demonstrates a comprehensive solution for secure cloud storage with real-world applicability.

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ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 5036-5038

A Multi-Client Secure Cloud Framework with Enhanced Storage Efficiency and Latency Reduction

Available:https://ijirt.org/Article?manuscript=175790

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