Preserving the Healthcare Data by Using PPDM Technique
K. Renuka Devi · Advances in healthcare information systems and administration book series · 2022
The recent advancement in technology catalyse the processing of vast amount of data. It leads to the purpose of extracting and storing those data in an electronic form. Data mining contributes a significant part in fulfilling this process. In the realm of data mining, privacy and security are two important problems. To resolve the above problems, the need of privacy preserving in data mining (PPDM) has been arisen. Under healthcare domain, the data mining will process the sensitive information which includes name, age, health records etc., Hence, PPDM plays a key role in securing that sensitive information and protecting those data from the intruders. Individual data is not only protected by PPDM, but it is also protected from leakage. In this paper, the PPDM technique such as anonymization technique and cryptographic technique has been analysed deeply with the view of its execution time. It is also focused that based on comparison, which method would be more efficient for protecting data from unauthorized access in the healthcare domain.