A Novel Privacy Preservation Mechanism for Wireless Medical Sensor Networks

摘要

Wireless Medical Sensors Networks (WMSNs) are mainly used to track and collect health data from patients using body sensors which are implanted on the patient body. This helps to reduce the cost of treatment, provide reliable resources and services, provide accurate diagnostic results, and quicker diagnosis. Security and privacy are the most significant challenges in such networks while the healthcare information is transferred via wireless communication to the medical server. Security requirements such as confidentiality, honesty, and authenticity should be maintained throughout the entire process. This paper proposes a robust privacy preservation framework based on homomorphic encryption. The randomness in encrypted data provides different ciphertexts which enhances the privacy of the processed data. The network and encryption performance of the proposed monitoring system are evaluated using an OPNET-based simulation model. It demonstrated that the proposed framework achieves better throughput and less delay as compared to previous works.