AI-Enhanced Strategies for Information Security: Safeguarding PHI in Government and Healthcare Sectors

Abstract

As data becomes increasingly important in fields like healthcare and governmental uses, avoiding the adverse selection of valid data becomes increasingly important. Data offers the best potential value when it is fully drafted. The draft data or more incomplete data disallows the negative use of such information when this is used. Effectively, the government and healthcare entities have the challenge of storing important information in such a manner that unwanted authenticated uses cannot occur. We proposed an information security strategy (or application specification) for digital storage methods that provide useful activities authorizing near-complete important information to be stored while the removal of wanted data is discouraged. Specifically, the method comes with a crypto notary public key protocol that enables transactions to be publicly verified in the producer and the distributor accepts liability for misinformation. The system is intended to work at all confidentiality levels, thereby effectively reducing an entity's potential liability for data breaches. A prototype proof of concept demonstrated compliance with performance targets.