Forward Privacy Preservation in IoT-Enabled Healthcare Systems

In recent years, Internet of Things (IoT)-enabled health monitoring wearable devices have become a trend in healthcare systems, regularly collecting vital sign data from patients and uploading them to the cloud. Through on-demand search queries, are shared with third-party service providers monitor patients' status provide timely diagnoses. To ensure privacy security, patient should be encrypted before being uploaded The cloud can give encryption services. However, current searchable (SE) technologies still problems forward security verifiability. This article proposes an IoT-cloud-enabled system incorporating SE method By designing trapdoor permutation function, we render resulting output indistinguishable meaningless random adversary. Thus, adversary cannot judge relationship between newly inserted record past token, therefore, realizes or secrecy. We propose multikeyword verification mechanism based on pseudo-random function. Our approach solves verifying correctness results top-k scenario partial results. A formal analysis proves that our scheme achieves preservation, which help guarantee privacy. Additionally, performance evaluation shows is efficient effective, providing information preserve IoT-enabled systems.