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
- P. Pattunnarajam, Janani G, A. Vijayaraj, Sathiya Priya S, Enhanced routing strategy of wireless sensor network based on fifth generation communication technology , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- G. Vijayalakshmi, M. V. Srinath, Student’s Academic Performance Improvement Using Adaptive Ensemble Learning Method , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Saarumathi R, Ritha W, Conglomerate Charge and Merchandise Swayed Inventory Model for Fragile Vendibles , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Vimala S, G. Arockia Sahaya Sheela, Label-Aware Imputation with Cluster Refinement for Smartphone Usage Analytics in Educational Institutions , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Manish Kumar, Nirupama Prakash, Saket Bihari, The role of public-private partnerships in facilitating international migration of semi-skilled workers–A case study of Varanasi and nearby districts , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Ritu Nagila, Abhishek Kumar Mishra, Ashish Nagila, Role of big data in enhancing lung cancer prediction and treatment , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- L. Amudavalli, K. Muthuramalingam, Energy-efficient location-based routing protocol for wireless sensor networks using teaching-learning soccer league optimization (TLSLO) , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- R. Kalaiselvi, P. Meenakshi Sundaram, Unified framework for sybil attack detection in mobile ad hoc networks using machine learning approach , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper
- Avdhesh Kumar, Manoj Agarwal, Studies on challenges and opportunities for foreign direct investment in the automobile industry in India , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Nilesh M. Patil, P M. Krishna, G. Deena, C Harini, R.K. Gnanamurthy, Romala V. Srinivas, Exploring real-time patient monitoring and data analytics with IoT-based smart healthcare monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 7 8 9 10 11 12 13 14 15 16 > >>
You may also start an advanced similarity search for this article.

