Cloud Storage Privacy in Health Care Systems Based on IP and Geo-Location Validation Using K-Mean Clustering Technique

2. Related Work

Several methods have been outlined to provide and preserve privacy to the shared data on cloud platforms and health care systems. Some privacy issues are highlighted in (Na & Xumin, 2010). In this paper, the authors analyse and survey security and privacy in cloud computing environments. Zissis & Lekkas, 2012) attempt to evaluate cloud computing security by introducing a trusted third party and eliminating unique threats.

(Dawoud & Turgay Altilar, 2017) defined and provided the possible scenarios for the integration of cloud systems with e-health care systems. The various requirements in terms of privacy and security for these scenarios are also defined. The authors have proposed the complete guidelines for the security and privacy challenges in e- health systems with cloud systems.

(Wang, Ma, Xhafa, Zhang, & Luo, 2016) described several identity-based cryptographic techniques including new identity based proxy re-encryption for securing e-health systems. They concluded that identity-based proxy re-encryption scheme is highly efficient for re-encryption and can be effectively used for achieving cost effective cloud usage.