Paper Details

Nowadays data sharing utilization is in research and development and many sectors like health, defense,machine learning, etc. Many institution or organizations have their policies to share data without loss of confidentialityof their data. Sharing of information across databases maintained by different organizations leads to an exchange ofpersonal information about an individual. In practice, various statutory regulations and policies prevent the disclosureof such identifiers. So, to prevent the confidentiality of the data, it should share securely. Multiple techniques areimplemented to protect the data from attack while sharing. K-anonymization, de-identification of personnel identifiers,noise addition for sharing data have become a topic of recent interest in many organizations due to their versatility andability to share the data securely. A novel approach for data sharing has been worked out by combining the kanonymization and addition of noise in the dataset. K-anonymization is applied on personnel identifiers and addition ofrandom noise is applied to numerical data to secure the data for sharing. An application was developed to demonstratethe proposed concept.

Ms. Rekha Vishwakarma, Prof. Vijay Shelake, “A Novel Approach to Secure Data Sharing”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 8, Issue 4, pp. 19-24, April 2021.