Traceable Attribute-Based Encryption With Equality Test for Cloud Enabled E-Health System.

Area of Science:

• Cybersecurity
• Health Informatics
• Cloud Computing

Background:

• Emerging Internet of Things (IoTs) and cloud technologies increase efficiency in e-health.
• Extensive network use exposes sensitive medical data to cyber threats.
• Existing solutions lack robust privacy and traceability.

Purpose of the Study:

• To propose an adaptively secure data sharing scheme for IoTs-based e-health cloud environments.
• To enhance data privacy, enable flexible access control, and provide traitor tracing functionality.
• To ensure equality testing for efficient ciphertext retrieval without revealing plaintext.

Main Methods:

• Developed a traceable attribute-based encryption with equality test (T-ABEET) scheme.
• Implemented a multi-authority mechanism to circumvent the key escrow problem.
• Demonstrated adaptive security under the subgroup decision assumption.

Main Results:

• The T-ABEET scheme offers flexible access control and traitor tracing.
• Equality testing allows efficient retrieval of ciphertexts.
• Tracing cost remains constant regardless of user numbers.
• The scheme avoids the key escrow problem inherent in ABE.

Conclusions:

• The proposed T-ABEET scheme provides superior practicality, efficiency, and security for cloud-enabled e-health systems.
• It effectively addresses the challenges of data privacy and security in IoT-based healthcare.
• The scheme represents a significant advancement in secure e-health data sharing.