Modern Privacy Risks and Protection Strategies in Data Analytics

Abstract

AbstractTechnology has transformed our socioeconomic life. We are more dependent on technology for our day-to-day activities like banking, e-commerce, retail, etc. Extensive usage of smart phone apps and enormous interest of people for social media has led to a digital data rich environment where significantly large-scale data is being generated and shared by organizations for better decision making and foster businesses through data analytics. However, data analytics involves privacy threats leading to disclosure of personal and sensitive data without the user's consent. Conventional data analytics involved analytics on the data as a whole using aggregate queries. Modern applications like recommendation systems, digital marketing, etc. involves analytics on person-specific individual records which is more harmful to individual privacy. In this paper, we examine various privacy-related risks, privacy preservation strategies with their potentials and limitations, also highlight the important aspects of many privacy legislations made in various countries including Personal Data Protection bill of India and European Union's General Data Protection Regulation (GDPR).KeywordsBig dataData analyticsPrivacy preservationPrivacy legislations