A Secure Mutual Batch Authentication Scheme for Patient Data Privacy Preserving in WBAN

Area of Science:

• Cybersecurity
• Wireless Body Area Networks (WBAN)
• e-Care Services

Background:

• Cloud-based services and WBAN innovations enhance e-Care, improving medical system quality.
• Data transmission from WBAN to application providers (AP) faces security risks like unauthorized access and alteration.
• Existing cryptosystems using bilinear pairing have vulnerabilities, allowing AP impersonation of clients (C), compromising data privacy and integrity.

Purpose of the Study:

• To address the impersonation vulnerability in WBAN data transmission.
• To propose a secured and efficient remote batch authentication scheme.
• To ensure genuine identity verification between clients (C) and application providers (AP).

Main Methods:

• Developed a novel cryptosystem combining Elliptic Curve Cryptography (ECC) and bilinear pairing schemes.
• Implemented efficient data aggregation techniques.
• Incorporated batch authentication for resource-constrained WBAN devices.

Main Results:

• The proposed scheme effectively prevents impersonation attacks by accurately verifying C and AP identities.
• Reduced communication and computational overheads, suitable for limited-resource WBAN environments.
• Enhanced data privacy and integrity during transmission.

Conclusions:

• The developed remote batch authentication scheme significantly improves WBAN security, particularly for e-Care applications.
• The integration of data aggregation and batch authentication offers substantial benefits for energy-limited WBAN devices.
• This approach provides a robust solution against impersonation, ensuring reliable data transmission in medical IoT settings.