A Novel Privacy Preservation Model For E-Healthcare System
Nidhi G Pandya, Gayatri Pandi · International journal of advance research and innovative ideas in education · 2016
In this era of data digitization, data mining is essential for getting valuable information. However, privacy and security issues remain major barriers during this process. Since medical records are related to human subjects, privacy protection is taken more seriously than other data mining tasks. As required by the Health Insurance Portability and Accountability Act (HIPAA), it is necessary to protect the privacy of patients and ensure the security of the medical data.Variety of different approaches and algorithms of privacy preservation are available but they suffer from various types of attacks and information loss. So, for making privacy preservation techniques more strong the developers uses different PPDM techniques like, generalization, randomization, k-anonymity, cryptography, etc. In this report We are trying to describe the PPDM model for E-Healthcare data. we have proposed a model/technique that hide multiple sensitive attribute and try solve problem of high dimensionality.