| Title | A Study of Securing Healthcare Big Data using DNA Encoding based ECC |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Nayak, Lipsa, Jayalakshmi, V. |
| Conference Name | 2021 6th International Conference on Inventive Computation Technologies (ICICT) |
| Keywords | Big Data, cloud, cryptography, DNA, DNA cryptography, Elliptic curve cryptography, healthcare, Human Behavior, Industries, Medical Big Data, Medical services, Metrics, Organizations, privacy, pubcrawl, resilience, Resiliency, security |
| Abstract | IT world is migrating towards utilizing cloud computing as an essential data storing and exchanging platform. With the amelioration of technology, a colossal amount of data is generating with time. Cloud computing provides an enormous data storage capacity with the flexibility of accessing it without the time and place restrictions with virtualized resources. Healthcare industries spawn intense amounts of data from various medical instruments and digital records of patients. To access data remotely from any geographical location, the healthcare industry is moving towards cloud computing. EHR and PHR are patient's digital records, which include sensitive information of patients. Apart from all the proficient service provided by cloud computing, security is a primary concern for various organizations. To address the security issue, several cryptographic techniques implemented by researchers worldwide. In this paper, a vigorous cryptographic method discussed which is implemented by combining DNA cryptography and Elliptic Curve Cryptography to protect sensitive data in the cloud. |
| DOI | 10.1109/ICICT50816.2021.9358546 |
| Citation Key | nayak_study_2021 |
A Study of Securing Healthcare Big Data using DNA Encoding based ECC