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
- Syed Amin Jameel, Abdul Rahim Mohamed Shanavas, Deep-Ultranet: Diabetic Retinopathy Grading System Using Ultra-Widefield Retinal Images , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- A. K. Chaubey, Vidhi Tyagi, Tanu Vatsa, Chhavi Kaushik, EVALUATION OF VIRULENCE OF ENTOMOPATHOGENIC NEMATODE ISOLATES AGAINST HELICOVERPA ARMIGERA AND SPODEPTERA LITURA , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- Bayelign A. Zelalem, Ayalew A. Abebe, Evaluating supply chain management practice among micro and small manufacturing enterprise in southwest, Ethiopia , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- V. Seethala Devi, N. Vanjulavalli, K. Sujith, R. Surendiran, A metaheuristic optimisation algorithm-based optimal feature subset strategy that enhances the machine learning algorithm’s classifier performance , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Bayelign Abebe Zelalem, Ayalew Ali Abebe, Financial strategy and private commercial banks’ profitability in the emerging market: Evidence from Ethiopia , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Mohit Kalra, Arpan Nautiyal, Krishnapal Singh, Health Assessment of Buksa Tribe: Exploring CSR Models for Indigenous Community Empowerment in Ramnagar Block, Nainital District , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Muthuvel Balasubramanian, Jonnakuti V. G. Rama Rao, Surya C. P. R. Sanaboina, Vavilala Venkatesh, Amalodbhavi Sanaboina, Tracking and control of power oscillation dampings in transmission lines using PV STATCOM , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Minas M. Ali, Farah H. Alenezi, Nora F. Alfayyadh, Sara Y. Alhassoun, Rahaf M. Alanzi, Waseem Radwan, Conservative esthetic dentistry in Riyadh – Saudi Arabia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- N.S.G. Ganesh, V Arulkumar, R. Lathamanju, Priscilla Joy , Energetic and highly reliable photovoltaic power source assisted water pump control system design using IoT , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- R. Gomathi, Balaji V, Sanjay R. Pawar, Ayesha Siddiqua, M. Dhanalakshmi, Ravi Rastogi, Ensuring ethical integrity and bias reduction in machine learning models , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 34 35 36 37 38 39 40 41 42 43 > >>
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

