A Smart Card-Based Two-Factor Mutual Authentication Scheme for Efficient Deployment of an IoT-Based Telecare Medical...

Area of Science:

• Cybersecurity in Healthcare
• Applied Cryptography
• Internet of Things (IoT)

Background:

• Telecare Medical Information Systems (TMIS) integrated with the Internet of Things (IoT) offer convenient healthcare but face significant security and privacy risks due to the open nature of the internet.
• Sensitive patient data within TMIS is a prime target for cybercriminals, necessitating robust security measures.
• Existing smart card-based authentication methods for TMIS often rely on computationally intensive cryptographic operations, making them unsuitable for resource-constrained biomedical devices.

Purpose of the Study:

• To propose a novel, efficient, and secure smart card-based two-factor mutual authentication scheme for IoT-enabled TMIS.
• To address the limitations of existing authentication methods by utilizing the properties of hyperelliptic curve cryptography (HECC).
• To enhance the real-time performance and security of TMIS for connected healthcare environments.

Main Methods:

• Development of a new smart card-based two-factor mutual authentication scheme leveraging Hyperelliptic Curve Cryptography (HECC).
• Security analysis to evaluate the scheme's resistance against various cryptographic attacks.
• Comparative analysis of computation and communication costs against existing authentication schemes.

Main Results:

• The proposed HECC-based scheme demonstrates resistance to a wide range of cryptographic attacks.
• The scheme effectively utilizes HECC's compact parameters and key sizes for improved real-time performance in IoT-based TMIS.
• The new authentication scheme is found to be more cost-effective in terms of computation and communication compared to existing methods.

Conclusions:

• The proposed hyperelliptic curve cryptography-based two-factor mutual authentication scheme offers a secure and efficient solution for protecting sensitive data in IoT-enabled TMIS.
• This approach is particularly suitable for biomedical devices with limited resources, overcoming the drawbacks of computationally expensive traditional methods.
• The findings suggest a promising direction for enhancing the trustworthiness and performance of future telecare systems.