A P2ECAM: A Trust-Preserving Cross-Cloud Data Migration Model For Resource-Constrained Mobile Devices Using Certificate-Free Elliptic Curve Cryptography

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Authors: M. Kohila, S. Rethinavalli
Cited by: 0
References: 5

Abstract

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.

Fields of Study & Subjects

Cloud Data Security Solutions Advanced Authentication Protocols Security Cryptography and Data Security

Publication details

Journal / source
THE SCIENTIFIC TEMPER
Volume
17
Issue
02
Pages
5701–5706
Publication date
25 February 2026
Language
EN