Data Division Scheme Based on Homomorphic Encryption in WSNs for Health Care

Area of Science:

• Biomedical Engineering
• Computer Science
• Cybersecurity

Background:

• Wireless sensor networks (WSNs) are increasingly used in healthcare for wearable computing applications like remote monitoring.
• Existing WSNs in healthcare face significant patient privacy challenges.
• Protecting sensitive medical data transmitted wirelessly is crucial.

Purpose of the Study:

• To propose a novel data division scheme for WSNs in healthcare to enhance patient privacy.
• To leverage the advantages of homomorphic encryption for secure data transmission.
• To offer a robust solution against data eavesdropping in compromised network environments.

Main Methods:

• Analysis of WSN features in medical systems.
• Development of a data division scheme incorporating homomorphic encryption.
• Security and resource consumption evaluation through experimental results.

Main Results:

• The proposed scheme significantly strengthens patient privacy compared to existing methods.
• It prevents data eavesdropping even when forwarding nodes are compromised.
• Experimental results demonstrate a favorable balance between resource consumption and system security.

Conclusions:

• The developed data division scheme offers enhanced privacy protection for sensitive medical data in WSNs.
• Homomorphic encryption integration provides a secure method for data encryption and decryption.
• The scheme is efficient and suitable for practical healthcare applications requiring strong data security.