Resource-constrained encryption design with cloud-based medical imaging archives
Amol Bhoiteamool0123@gmail.comDepartment of Radio-DiagnosisKrishna Institute of Medical SciencesKrishna Vishwa Vidyapeeth (Deemed to be University)Karad, Maharashtra, 415539, IndiaView full profile → , Radha Chauhanchauhan.radha50@gmail.comDepartment of MicrobiologyNoida International UniversityGreater Noida, Uttar Pradesh, 201312, IndiaView full profile → , *Samir N. AjaniCorresponding authorsamir.ajani@gmail.comSchool of Computer Science and EngineeringRamdeobaba UniversityNagpur, Maharashtra, 440013, IndiaView full profile → , Viyyapu Lokeshwari Vinyavinya593@vardhaman.orgDepartment of Computer Science and EngineeringVardhaman College of EngineeringShamshabad, Hyderabad, Telangana, 501218, IndiaView full profile → , Amruta Prasad Kharadeamruta.kharade@vit.eduDepartment of Engineering Science and HumanitiesVishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile → , V. Poongodipoongodi@maher.ac.inDepartment of Oral Medicine and RadiologyMeenakshi Ammal Dental College & HospitalMeenakshi Academy of Higher Education & ResearchChennai, Tamil Nadu, 600087, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Mar 2026
- Published Online:
- 31 Oct 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-2493
- Pages:
- 3669–3680
Abstract
While cloud-based medical imaging archives offer scalability, remote access, and easy sharing of diagnostic information, the security of these types of sensitive images is difficult for resource-constrained medical devices. This paper introduces a secure and efficient medical image archiving system, called Resource-Constrained Encryption Framework (RCEF), which provides image security and efficiency. This framework covers resource assessment, adaptive encryption configuration, light image encryption, secure key management, integrity check, authenticated transmission, cloud storage and authorized reconstruction. The configuration of the encryption is based on the characteristics of the devices, such as processing power, memory, energy and bandwidth. The framework is tested by means of computed tomography (CT), magnetic resonance imaging (MRI), X-ray and ultrasound pictures and contrasted with traditional encryption methods. The experimental results show the time of encryption and decryption reduced, CPU usage reduced, memory consumed reduced, energy consumption reduced, and higher throughput. The results of security analysis show high entropy of cipher text, low degree of correlation between cipher text pixels, strong differential properties and key sensitivity. The Lossless authorized reconstruction preserves the diagnostically important information, which is appropriate for IoMT device, edge healthcare platform and secure cloud medical archive.
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References
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