EAM: Enhanced authentication method to ensure the authenticity and integrity of the data in VM migration to the cloud environment
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.1.29Keywords:
Data migration, Data authentication, Authenticity, Data integrity, Cloud security, Hashing.cDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Cloud is a prominent technology today to provide computing resources to users. In previous days, industries or enterprise users are maintaining their data on-premises. Therefore, it creates many management issues in the industries. Cloud gives solutions to industries to maintain their data in the cloud data center. As a result, many industries are outsourcing their data to the cloud. When outsourcing, the data are migrated along with Virtual Machines (VM). During the migration, the data are vulnerable to attack. As a result, the data may tamper with fault content by the adversarial. Therefore, it is necessary to maintain data authenticity and integrity verification during the migration. This paper proposes an authentication mechanism to verify the data authenticity when migrated from on-premises to off-premises. The paper proposes a novel procedure to migrate the data in the virtual machine. After migration, the data is verified for authenticity using the proposed mechanism. An enhanced hashing procedure is proposed in the paper to verify the data authenticity. The proposed authentication mechanism is simulated in the cloud environment, and results are given in the tables and graphs. The results show that the EAM efficiently provides authentication and integrity of data migrated from on-premises to the cloud data center.Abstract
How to Cite
Downloads
Similar Articles
- Jyoti Vishwakarma, Sunil Kumar, Mapping Research on ESG Disclosure and Firm Performance: A Systematic Bibliometric Analysis , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Veena Grace Carmel, Correlative Analysis of Cryptocurrencies and Stocks from Asset and Investment Perspective , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Akila L, Comparative study on Datafication and Digitization , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- Vibhu Tripathi, India’s stand on GM crops , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- UMA SHANKAR SHUKLA, AN INFLATED PROBABILITY MODEL FOR INFECTION , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
- S. Aasha, R. Sugumar, Lightweight Feature Selection Method using Quantum Statistical Ranking and Hybrid Beetle-Bat Optimization for Smart Farming , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- M. Deepika, I Antonitte Vinoline, Optimization of an Advanced Integrated Inventory Model Considering Shortages and Deterioration across Varying Demand Functions , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- M. Merla Agnes Mary, S. Britto Ramesh Kumar, DAJO: A Robust Machine Learning–Based Framework for Preprocessing and Denoising Fetal ECG Signals , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- AMRINAL CHANDRA, H.C. RAI, “SYNTHESIS AND SPECTRAL STUDIES OF Co(II) AND Ni(II) COMPLEXES WITH SCHIFF BASE LIGAND 1,6-DIMERCAPTO-1,6 DIAMINO-2,4,5-TRIAZA-3-PHENYL-3-HEXENE” , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- Merlin Sofia S, D. Ravindran, G. Arockia Sahaya Sheela, Clean Balance-Ensemble CHD: A Balanced Ensemble Learning Framework for Accurate Coronary Heart Disease Prediction , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
<< < 21 22 23 24 25 26 27 28 29 30 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Raja Selvaraj, Manikandasaran S Sundaram, ECM: Enhanced confidentiality method to ensure the secure migration of data in VM to cloud environment , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper

