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Based Medical Systems for Patient's Authentication: Towards a New Verification Secure Framework Using CIA Standard.
A H Mohsin1,2, A A Zaidan3, B B Zaidan1
1Department of Computing, Universiti Pendidikan Sultan Idris, Tanjong Malim, Perak, Malaysia.
Journal of Medical Systems
|May 23, 2019
Summary
This study introduces a novel framework for secure patient authentication in medical systems using blockchain, particle swarm optimization (PSO), and advanced encryption standard (AES) techniques. The proposed system enhances the security of finger vein biometric data, ensuring patient privacy and data integrity.
Area of Science:
- Medical Informatics
- Cybersecurity
- Biometrics
Background:
- Securing patient biometric data, particularly finger vein patterns, is a critical challenge in medical systems.
- Existing methods for protecting biometric data face limitations, necessitating more robust solutions.
- Biometric data leakage poses significant risks, including replay attacks, due to the difficulty of replacing compromised information.
Purpose of the Study:
- To propose a novel, secure verification framework for patient authentication in medical systems.
- To enhance the reliability, privacy, and security of biometric data protection.
- To address the limitations of current biometric security measures by integrating advanced cryptographic and distributed ledger technologies.
Main Methods:
- A new hybrid model combining radio frequency identification (RFID) and finger vein biometrics using a novel merge algorithm for increased randomization.
- Implementation of a secure verification framework adhering to the confidentiality, integrity, and availability (CIA) standard.
- Integration of Advanced Encryption Standard (AES) encryption, blockchain technology, and Particle Swarm Optimization (PSO) within a steganography technique.
Main Results:
- The proposed framework successfully integrates RFID and finger vein biometrics into a randomized hybrid pattern.
- The framework demonstrates adherence to the CIA triad for telemedicine authentication.
- Validation and evaluation of the proposed verification secure framework were conducted, showing promising results in enhancing security.
Conclusions:
- The developed framework offers a robust solution for secure patient authentication in medical systems.
- The combination of blockchain, PSO, and AES provides a secure and reliable method for protecting sensitive biometric data.
- The proposed approach significantly improves patient data security and privacy in telemedicine applications.