A Modular Encryption Framework in Cloud and Mobile Environments for Cybersecurity Solutions in Health Information

Authors

  • Yadu Prasad Gyawali Assistant professor, Mid-West University, Birendranagar, Surkhet, Nepal
  • Mandar S. Karyakarte Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune - India

Keywords:

Cross-Domain Text Classification, Transfer Learning, Domain Adaptation, Textual Domain Generalization, Deep Learning

Abstract

The rapidly evolving landscape of healthcare information systems, ensuring the security and privacy of sensitive health data is paramount. This abstract introduces an encryption framework designed for the unique challenges posed by cloud and mobile environments, offering robust cybersecurity solutions for health information. The framework integrates cutting-edge encryption technologies tailored to the specific requirements of both cloud-based storage and mobile devices, addressing the dynamic nature of healthcare data access. In cloud environments, the framework employs advanced encryption algorithms to protect data at rest, in transit, and during processing. Additionally, it leverages key management strategies to ensure secure access control and mitigate unauthorized breaches. For mobile platforms, the framework focuses on end-to-end encryption, safeguarding health information across diverse devices while considering the inherent vulnerabilities of mobile networks. Furthermore, it incorporates secure authentication mechanisms to fortify access points and prevent unauthorized entry. This comprehensive Modular encryption framework represents a proactive approach to healthcare cybersecurity, acknowledging the critical importance of safeguarding patient data. By seamlessly integrating encryption measures into both cloud and mobile environments, it provides a robust solution to the multifaceted challenges in health information security, fostering a resilient and protected digital ecosystem for healthcare providers and patients alike.

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Published

2026-03-20

How to Cite

Gyawali, Y. P., & Karyakarte, M. S. (2026). A Modular Encryption Framework in Cloud and Mobile Environments for Cybersecurity Solutions in Health Information. Research Journal of Computer Systems and Engineering, 4(1), 64–73. Retrieved from https://vit.technicaljournals.org/index.php/rjcse/article/view/25