International Journal of Computing and Mathematics

Increasing effective communication with specialist healthcare service providers, common information obtained by e-healthcare systems have substantial medical importance. However, the exchange of health data raises many security risks, like access protection and leakage of privacy, and also crucial difficulties in accessing appropriate data collection and services. So this paper proposes a fog-based privacy-preservation for e-healthcare networks to exchange medical information. Especially, for successful health data processing, it implements the fog node to group the shared data into various groups as per disease threats. In the meantime, by integrating a private security mechanism on patients and a technical access policy on the fog node for successful emergency service provision, it develops an improved Advance encryption Standard algorithm. Also, by offloading a part of the computing and storage burden from patients to the fog node, these generate large encryption consumption reduction for patients. Prevention studies illustrate that with collusion tolerance, Privacy-preserving based on fog computing recognizes confidential information and advanced access protection. Evaluations of efficiency show cost-efficient computing, storage, and energy use of encryption.