Addressing contemporary threats in anonymised healthcare data using privacy engineering
Sanjiv M. Narayan, Nitin Kohli, Megan Martin
Abstract
Cyber-attacks on healthcare entities and leaks of personal identifiable information (PII) are a growing threat. However, it is now possible to learn sensitive characteristics of an individual without PII, by combining advances in artificial intelligence, analytics, and online repositories. We discuss privacy threats and privacy engineering solutions, emphasizing the selection of privacy enhancing technologies for various healthcare cases. Future solutions must consider dynamic flows of data throughout their lifecycle.
Topics & Concepts
Health careInternet privacyInformation privacyComputer scienceAnalyticsComputer securityPersonally identifiable informationData scienceBig dataData miningPolitical scienceLawPrivacy-Preserving Technologies in DataPrivacy, Security, and Data ProtectionCryptography and Data Security