Verifiable, Secure Mobile Agent Migration in Healthcare Systems Using a Polynomial-Based Threshold Secret Sharing...

Area of Science:

• Computer Science
• Information Security
• Healthcare Informatics

Background:

• Mobile agents are software applications that migrate between hosts to process data.
• Their application in healthcare is expanding, covering patient data management, telemedicine, and clinical information retrieval.
• Increased use of mobile agents in healthcare raises significant security concerns regarding data integrity, confidentiality, and authentication.

Purpose of the Study:

• To propose a novel model for verifiable and secure mobile agent migration in clinical healthcare settings.
• To address key security challenges including data integrity, confidentiality, authentication, non-repudiation, denial of service, and access control.
• To enhance the security of information transmission within the healthcare domain.

Main Methods:

• Development of a Verifiable, Secure Mobile Agent Migration model.
• Utilization of a (t, n)-threshold secret sharing scheme.
• Integration of an edge secret sharing plan with Blowfish encryption.

Main Results:

• The proposed model ensures secure data transmission for mobile agents in healthcare.
• It addresses critical security concerns inherent in mobile agent migration.
• The combination of polynomial-based sharing and Blowfish encryption provides robust protection.

Conclusions:

• The Verifiable, Secure Mobile Agent Migration model offers a viable solution for protecting sensitive health data.
• This approach enhances the security and trustworthiness of mobile agent applications in clinical environments.
• Further research can explore the scalability and performance of this model in large-scale healthcare systems.