International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 18, No. 5, 8 Oct. 2026
Cover page and Table of Contents: PDF (size: 1108KB)
A Secure and Efficient Mobile Agent Framework for Medical Data Protection Using Variable Threshold CRT and Lightweight Cryptography
PDF (1108KB), PP.16-32
Views: 0 Downloads: 0
Author(s)
Anuradha Singh
1
Pradeep Kumar
2,*
Index Terms
Mobile Agents, Variable Threshold CRT, Lightweight Encryption and Decryption, PRIDE Cipher, PRESENT Cipher, Key Sharing, Secure Medical Data
Abstract
Mobile agents are powerful advanced technology for distributing computing with intelligent and autonomous execution of assigned tasks. During the execution, a mobile agent utilizes a specific life cycle in a malicious environment. Collaboration of mobile agents for securing medical data like patient information, patient medical report etc. plays an important role. In the digital world, smart health care system is required. For secure accessing of patient information from one hospital to another hospital a framework is proposed based on the variable threshold Chinese remainder theorem with the present and pride lightweight cipher. The Chinese remainder theorem is used for secret sharing of key among hospitals. The VT-CRT approach dynamically modifies the threshold in response to system variables, improving adaptability and security while minimizing computing cost. Present and pride are used for encryption and decryption of electronic medical records. This is the collaborative approach of mobile agents for creation and recreation of secret keys among hospitals for authentication. The effectiveness of the healthcare system is evaluated by the ability to securely and effectively transmit medical information. The lightweight PRIDE and PRESENT encryption methods provide efficient, low-latency encryption that is ideal for resource-constrained medical devices. The framework is compared to popular cryptographic systems like AES, DES, and Blowfish in terms of time complexity, communication cost, flexibility, and memory usage. Experimental results show that the proposed framework improves security while maintaining optimal speed, making it a reliable solution for safe patient information sharing in medical applications.
Cite This Paper
Anuradha Singh, Pradeep Kumar, "A Secure and Efficient Mobile Agent Framework for Medical Data Protection Using Variable Threshold CRT and Lightweight Cryptography", International Journal of Information Technology and Computer Science(IJITCS), Vol.18, No.5, pp.16-32, 2026. DOI:10.5815/ijitcs.2026.05.02
Reference
[1]L. Fang et al., “Privacy Protection for Medical Data Sharing in Smart Healthcare,” ACM Trans. Multimed. Comput. Commun. Appl., vol. 16, no. 3s, 2021, doi: 10.1145/3408322.
[2]C. L. Chen, P. T. Huang, Y. Y. Deng, H. C. Chen, and Y. C. Wang, “A secure electronic medical record authorization system for smart device application in cloud computing environments,” Human-centric Comput. Inf. Sci., vol. 10, no. 1, pp. 1–31, 2020, doi: 10.1186/s13673-020-00221-1.
[3]H. Jin, Y. Luo, P. Li, and J. Mathew, “A Review of Secure and Privacy-Preserving Medical Data Sharing,” IEEE Access, vol. 7, pp. 61656–61669, 2019, doi: 10.1109/ACCESS.2019.2916503.
[4]D. S. Gupta, N. Mazumdar, A. Nag, and J. P. Singh, “Secure data authentication and access control protocol for industrial healthcare system,” J. Ambient Intell. Humaniz. Comput., vol. 14, no. 5, pp. 4853–4864, 2023, doi: 10.1007/s12652-022-04370-2.
[5]P. Kumar and D. Aggarwal, “Software Mobile Agent Migration : A Review,” vol. 6, no. 4, pp. 25–32, 2019.
[6]P. Kumar and A. K. Vatsa, “Novel Security Architecture and Mechanism for Identity based Information Retrieval System in MANET,” vol. 1, no. 3, pp. 397–404, 2011.
[7]P. Kumar, N. Singhal, and S. Singh, “Anonymous Scheme for Secure Mobile Agent Migration Using Mignotte’s Sequence and Back Propagation Artificial Neural Networks,” Int. J. Comput. Inf. Syst. Ind. Manag. Appl., vol. 13, no. August, pp. 192–199, 2021.
[8]U. Upadhyay, P. Kumar, and D. Aggarwal, “Secure migration of mobile agent using AES & secret sharing approach,” Int. J. Emerg. Technol., vol. 10, no. 2, pp. 150–155, 2019.
[9]M. Gupta, M. Gupta, and M. Deshmukh, “Single secret image sharing scheme using neural cryptography,” Multimed. Tools Appl., vol. 79, no. 17–18, pp. 12183–12204, 2020, doi: 10.1007/s11042-019-08454-8.
[10]M. Alfalayleh and L. Brankovic, “An overview of security issues and techniques in mobile agents,” IFIP Adv. Inf. Commun. Technol., vol. 175, pp. 59–78, 2005, doi: 10.1007/0-387-24486-7_5.
[11]P. Bagga and R. Hans, “Mobile Agents System Security,” ACM Comput. Surv., vol. 50, no. 5, pp. 1–45, 2017, doi: 10.1145/3095797.
[12]L. Zhu, Y. Xie, Y. Zhou, Q. Fan, C. Zhang, and X. Liu, “Enabling efficient and secure health data sharing for Healthcare IoT systems,” Futur. Gener. Comput. Syst., vol. 149, pp. 304–316, 2023, doi: 10.1016/j.future.2023.07.031.
[13]K. Pradeep Kumar, B. R. Prathap, M. M. Thiruthuvanathan, H. Murthy, and V. Jha Pillai, “Secure approach to sharing digitized medical data in a cloud environment,” Data Sci. Manag., vol. 7, no. 2, pp. 108–118, 2024, doi: 10.1016/j.dsm.2023.12.001.
[14]R. Gupta et al., “Secured and Privacy-Preserving Multi-Authority Access Control System for Cloud-Based Healthcare Data Sharing,” Sensors, vol. 23, no. 5, 2023, doi: 10.3390/s23052617.
[15]J. Oh, S. Son, D. K. Kwon, M. Kim, Y. Park, and Y. Park, “Design of Secure and Privacy-Preserving Data Sharing Scheme Based on Key Aggregation and Private Set Intersection in Medical Information System,” Mathematics, vol. 12, no. 11, 2024, doi: 10.3390/math12111717.
[16]J. Scheibner et al., “Revolutionizing medical data sharing using advanced privacy-enhancing technologies: Technical, legal, and ethical synthesis,” J. Med. Internet Res., vol. 23, no. 2, pp. 1–14, 2021, doi: 10.2196/25120.
[17]H. Bodur and I. F. T. Al Yaseen, “An Improved blockchain-based secure medical record sharing scheme,” Cluster Comput., vol. 27, no. 6, pp. 7981–8000, 2024, doi: 10.1007/s10586-024-04414-6.
[18]G. Lax, R. Nardone, and A. Russo, “Enabling secure health information sharing among healthcare organizations by public blockchain,” Multimed. Tools Appl., vol. 83, no. 24, pp. 64795–64811, 2024, doi: 10.1007/s11042-024-18181-4.