ESPoW: Efficient and secured proof of ownership method to enable authentic deduplicated data access in public cloud storage
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.4.25Keywords:
Data Deduplication, Cloud Storage Security, Proof of Ownership (PoW), Authentication Mechanism, Challenge-Response Protocol, Secure Data AccessDimensions Badge
Issue
Section
License
Copyright (c) 2024 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The exponential growth of data in cloud environments necessitates efficient storage management solutions. Data deduplication, a technique that eliminates redundant data, has emerged as a key strategy to optimize storage utilization and reduce costs. However, deduplication introduces security challenges, particularly in verifying data ownership and protecting against unauthorized access. This paper presents efficient and secured proof of ownership (ESPoW), a novel proof-verifier technique designed to authenticate data ownership in deduplicated cloud storage environments. ESPoW utilizes a challenge-response mechanism and a unique secret value for each data file to ensure that only legitimate users can access their data, even in the presence of encrypted storage. Through rigorous experimentation and performance analysis, ESPoW demonstrates superior computational efficiency and enhanced security compared to existing methods. This approach provides a robust framework for secure and efficient deduplication in cloud storage, safeguarding sensitive data while optimizing storage resources.Abstract
How to Cite
Downloads
Similar Articles
- Nitin J. Wange, Sachin V. Chaudhari, Koteswararao Seelam, S. Koteswari, T. Ravichandran, Balamurugan Manivannan, Algorithmic material selection for wearable medical devices a genetic algorithm-based framework with multiscale modeling , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Shaik Abdulla P., Abdul Razak T., Retrieval-Based Inception V3-Net Algorithm and Invariant Data Classification using Enhanced Deep Belief Networks for Content-Based Image Retrieval , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Desalu Tamirat, Tesfaye Getachew , Worku masho, Zelalem Admasu , Morphological and morphometric features of indigenous chicken in North Shewa zone, Oromia regional state, Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- B. S. E. Zoraida, J. Jasmine Christina Magdalene, Smart grid precision: Evaluating machine learning models for forecasting of energy consumption from a smart grid , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Ramesh Babu Durai C, D. Madhivadhani, A. Sumathi, Lily Saron Grace, Graph neural networks for modeling ecological networks and food webs , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Alok Sharma, Roumi Deb, Sanjay Kumar Manjul , Cultural continuity and change through ceramic ethnoarchaeology: A comparative analysis of Rang Mahal and contemporary pottery in Nohar, Hanumangarh district, Rajasthan , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- R. Thiagarajan, S. Prakash Kumar, Performance of public transport appraisal using machine learning , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Merla Agnes Mary, Britto Ramesh Kumar, Hybrid GAN with KNN - SMOTE Approach for Class-Imbalance in Non-Invasive Fetal ECG Monitoring , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Dinesh Chand Gupta, Tanushri Purohit, Assessment of Human Resource Practices and Employee Performance in Automobile Manufacturing Industry , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Sharayu Mirasdar, Mangesh Bedekar, Knowledge graphs for NLP: A comprehensive analysis , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
<< < 19 20 21 22 23 24 25 26 27 28 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Sabeerath K, Manikandasaran S. Sundaram, BTEDD: Block-level tokens for efficient data deduplication in public cloud infrastructures , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper

