ETTG: Enhanced token and tag generation for authenticating users and deduplicating data stored in public cloud storage
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2024.15.3.18Keywords:
Cloud Storage, Data Deduplication, Token Generation, Cryptographic Techniques, Computation EfficiencyDimensions 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.
As cloud storage services continue to grow in popularity, the need for secure and efficient data management has become paramount. Public cloud storage offers benefits such as cost efficiency, scalability, and accessibility, but it also presents significant challenges related to data security and storage optimization. To address these challenges, the paper proposes an Enhanced Token and Tag Generation (ETTG) technique designed to improve data deduplication in public cloud storage. ETTG utilizes advanced cryptographic methods to generate secure tokens and tags, ensuring robust, efficient deduplication processes. The comprehensive evaluation demonstrates that ETTG significantly reduces computation time compared to existing techniques, making it particularly suitable for data-intensive cloud environments. By minimizing redundant data and enhancing data security, ETTG not only optimizes storage utilization but also improves overall system performance. This paper details the design and implementation of ETTG, its evaluation against existing methods, and its potential impact on the efficiency and security of cloud storage services.Abstract
How to Cite
Downloads
Similar Articles
- Bommaiah Boya, Premara Devaraju, Integrating clinical and ECG data for heart disease prediction: A hybrid deep learning approach based on two modalities with particle swarm optimization , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Lakshmi Priya, Anil Vasoya, C. Boopathi, Muthukumar Marappan, Evaluating dynamics, security, and performance metrics for smart manufacturing , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- S V Arulvani, Dr. C. Jayanthi, Logistic Elitist Liquid Neural Network For Student Dropout Prediction , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Parul Yadav, Priyanka Suryavanshi, Storage study on compositional analysis of quinoa and ragi based snacks , The Scientific Temper: Vol. 15 No. 02 (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
- P. Ananthi, A. Chandrabose, The socio-technical opportunities and threats of crowdsensing , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Viji Parthasarathy, Manikandasaran S S, Feature Selection Techniques for IOT Crop Yield Prediction Using Smart Farming Sensor Data , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Rita Ganguly, Dharmpal Singh, Rajesh Bose, The next frontier of explainable artificial intelligence (XAI) in healthcare services: A study on PIMA diabetes dataset , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Susithra N, Rajalakshmi K, Ashwath P, Performance analysis of compressive sensing and reconstruction by LASSO and OMP for audio signal processing applications , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- V. Manikandabalaji, R. Sivakumar, V. Maniraj, A novel approach using type-II fuzzy differential evolution is proposed for identifying and diagnosis of diabetes using semantic ontology , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 4 5 6 7 8 9 10 11 12 13 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Olivia C. Gold, Jayasimman Lawrence, Ensemble of CatBoost and neural networks with hybrid feature selection for enhanced heart disease prediction , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper

