A lightweight attribute-based signcryption scheme based on cloud-fog assisted in smart healthcare

Area of Science:

• Computer Science
• Information Technology
• Cybersecurity

Background:

• Smart healthcare systems generate massive data, requiring real-time processing.
• Traditional cloud computing struggles with resource-constrained Internet of Things (IoT) devices.
• Existing solutions lack efficiency for the demands of modern healthcare data.

Purpose of the Study:

• To propose a novel cloud-fog assisted attribute-based signcryption scheme for smart healthcare.
• To address the computational overhead on resource-constrained devices in IoT environments.
• To enhance the efficiency and security of data processing in smart healthcare.

Main Methods:

• Developed a three-layer "cloud-fog-terminal" model.
• Offloaded heavy computation to fog nodes for both patients and doctors.
• Implemented a lightweight attribute-based signcryption algorithm with a blinded private key.

Main Results:

• Significantly reduced computational overhead for patients and doctors.
• Achieved higher computational efficiency compared to traditional methods.
• Demonstrated indistinguishability under chosen ciphertext attack and existential unforgeability under chosen message attack.

Conclusions:

• The proposed cloud-fog assisted signcryption is well-suited for smart healthcare applications.
• The scheme offers improved computational efficiency and security for IoT devices.
• This approach effectively tackles the limitations of cloud computing in resource-constrained healthcare environments.