Privacy-Preserving Data Sharing: A Comprehensive Literature Review

Privacy-Preserving Data Sharing: A Comprehensive Literature Review

Authors: Bita Afsharinia, Anjula Gurtoo, Jyotirmoy Dutta, Minnu Malieckal

This report provides an overview of the key concepts and techniques in privacy-preserving data analysis, emphasizing the importance of differential privacy, data anonymization, and data perturbation. The privacy-preserving principles of autonomy, justice, non-maleficence, beneficence, and explicability are critical for maintaining ethical standards in data handling. Furthermore, the report discusses the ethical foundations of privacy, stressing the need for continuous ethical reflexivity amidst rapid technological advancements. The proposed frameworks integrate these techniques and principles to offer a robust approach to protecting individual privacy in data analysis, addressing the complex challenges posed by modern technology.