An Efficient Certificateless Anonymous Signcryption Scheme for WBAN

Area of Science:

• Computer Science
• Cybersecurity
• Healthcare Technology

Background:

• Wireless Body Area Networks (WBANs) improve healthcare but pose privacy risks due to open channels and resource constraints.
• Existing certificateless signcryption schemes often lack public ciphertext authenticity and rely on the random oracle model (ROM), with high computational overheads.
• Secure and economical communication is crucial for WBANs to protect sensitive patient data.

Purpose of the Study:

• To propose a novel certificateless anonymous signcryption (CL-ASC) scheme tailored for resource-constrained WBAN environments.
• To address the limitations of existing schemes, specifically regarding security proofs in the standard model, public ciphertext authenticity, and computational efficiency.
• To enhance patient data security and privacy in healthcare applications utilizing WBANs.

Main Methods:

• Development of a new certificateless anonymous signcryption (CL-ASC) scheme.
• Security proofs conducted in the standard model, covering indistinguishability, unforgeability, signcrypter anonymity, and identity identifiability.
• Comparative analysis against existing schemes to evaluate security, computational overhead, and storage costs.

Main Results:

• The proposed CL-ASC scheme offers anonymity of the signcrypter, public verifiability, and public ciphertext authenticity.
• Security is proven in the standard model, providing stronger guarantees than schemes relying on the ROM.
• Demonstrated superiority over relevant schemes in terms of enhanced security, reduced computational overhead, and lower storage requirements.

Conclusions:

• The developed CL-ASC scheme provides a secure, efficient, and privacy-preserving solution for WBANs in healthcare.
• It overcomes key limitations of prior certificateless signcryption methods, offering robust security in the standard model.
• This advancement is vital for safeguarding patient data privacy and improving the reliability of WBAN-based healthcare systems.