A P2ECAM: A Trust-Preserving Cross-Cloud Data Migration Model For Resource-Constrained Mobile Devices Using Certificate-Free Elliptic Curve Cryptography
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.2.12Keywords:
Mobile Cloud Computing, Cross-Cloud Data Migration, Certificate-Free Cryptography, Mutual Authentication, Decentralized Architecture, Data Privacy and IntegrityDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The explosive growth of mobile cloud computing has heightened the need for secure, efficient, and effective data migration systems for use in smartphones with restricted local storage and processing capabilities. Current approaches are mostly based on proxy re-encryption and centralized schemes, which do not properly mitigate trust shortcomings between Cloud Service Providers (CSPs) and thus raise security issues relating to data integrity, privacy and system performance during cross-cloud migration. A key research needs the absence of strong, decentralized architectures for mutual trust and secure authentication among CSPs that do not compromise user identity or device-specific information. To fill this void, introduce a new framework called Peer-to-Peer Elliptic Curve Certificate-Free Authentication and Migration (P2ECAM). This scheme utilizes Elliptic Curve Certificate-Free Cryptography (ECCFC) to facilitate secure key establishment and mutual authentication between CSPs in a decentralized environment. By removing legacy certificate authorities, the model reduces overhead, improves scalability, and maintains privacy of identity. The system replicates users’ data from the source cloud to the smartphone and from there, securely transfers it to the target cloud, facilitating smooth cross-cloud migration. The envisioned P2ECAM algorithm is intended to support privacy-preserving data migration, mutual trust establishment and resource-light communication among untrusted CSPs. The approach involves protocol development, security modelling and comparative analysis with current systems, with an emphasis on scalability, trust guarantee, cryptographic resilience and migration efficiency. Experimental findings underscore considerable advances in session security, data integrity and system performance, coupled with the mitigation of sensitive information like mobile device identifiers and CSP identities. The system introduced herein presents a low-cost and scalable solution for secure data migration in mobile systems, tackling all major issues of storage, backup, trust and interoperability. This paper sets the stage for the next generation of decentralized, privacy-friendly and trustworthy mobile cloud systems.Abstract
How to Cite
Downloads
Similar Articles
- Sanjeev Kumar, Saurabh Charaya, Rachna Mehta, Multi-Metric Evaluation Framework for Machine Learning-Based Load Prediction in e-Governance Systems , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Pravin P. P, J. Arunshankar, Development of digital twin for PMDC motor control loop , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Priya Sharma, Jyoti Rana, Understanding Customer Awareness and effectiveness of Social Media Marketing in Banks , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- S. Deepa, I.S. Arafat, M. Sathya Priya, S. Saravanan, An improved spectrum sharing strategy evaluation over wireless network framework to perform error free communications , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- D. Prabakar, Santhosh Kumar D.R., R.S. Kumar, Chitra M., Somasundaram K., S.D.P. Ragavendiran, Narayan K. Vyas, Task offloading and trajectory control techniques in unmanned aerial vehicles with Internet of Things – An exhaustive review , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Jasmine A, G. Arul Selvi, Structural Relationships between Social Media Usage Patterns and Value Orientation among College-Going Youth in Rural and Urban Tamil Nadu: A Structural Equation Modelling Approach , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- C. Premila Rosy, Clustering of cancer text documents in the medical field using machine learning heuristics , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- Thangatharani T, M. Subalakshmi, Development of an adaptive machine learning framework for real-time anomaly detection in cybersecurity , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Abhishek K Pandey, Amrita Sahu, Ajay K Harit, Manoj Singh, Nutritional composition of the wild variety of edible vegetables consumed by the tribal community of Raipur, Chhattisgarh, India , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 5 6 7 8 9 10 11 12 13 14 > >>
You may also start an advanced similarity search for this article.

