Secure mobile agents for efficient medical information retrieval: A verifiable variable threshold secret sharing...

Area of Science:

• Computer Science
• Information Security
• Healthcare Technology

Background:

• Mobile agents are emerging as a replacement for traditional client-server models, offering automated code execution.
• The healthcare sector faces increasing demands due to population growth, necessitating remote healthcare systems.
• Deploying remote healthcare via the internet presents challenges like network interoperability and data security in dispersed, potentially insecure environments.

Purpose of the Study:

• To explore the application of mobile agents in overcoming challenges within remote healthcare systems.
• To develop a mathematical model for secure medical information retrieval using mobile agents.
• To enhance the safety and robustness of mobile agent computing in healthcare.

Main Methods:

• Utilizing mobile agents to navigate heterogeneous and potentially malicious network environments.
• Developing a mathematical model for secure medical information retrieval.
• Incorporating a variable threshold secret-sharing mechanism.
• Employing the Chinese remainder theorem and modular arithmetic for cryptographic security.

Main Results:

• Demonstrated the effectiveness of mobile agents in tackling remote healthcare system challenges.
• Proposed a novel mathematical model for secure medical data retrieval.
• Ensured confidentiality and integrity of medical information through advanced cryptographic techniques.

Conclusions:

• Mobile agents provide a viable and secure solution for remote healthcare information systems.
• The developed mathematical model enhances the security of medical data retrieval in mobile agent environments.
• This research contributes to the advancement of secure mobile agent computing within the healthcare industry.