As early as the 1980s, an encryption algorithm was proposed to protect data privacy, according to Baidu Encyclopedia. Later, in 2009, IBM researcher Graig Gentry first proposed an ideal-based omniconte encryption algorithm (FHE) that satisfies both addition and multiplication. Today, IBM officially launched a omnicomorph encryption toolkit for macOS and iOS, and Linux and Android versions will soon be here.
(Download address: GitHub)
For scenarios where sensitive data needs to be stored and shared, files at rest and in transit are often encrypted and then decrypted when used. For hackers and insiders, however, there is still an opportunity to leak and exploit unencrypted data.
The good news is that all-in-one encryption (FHE) can plug this vulnerability. It allows licensees to encrypt data while maintaining its encryption state, minimizing the time it takes to keep the data at its most vulnerable.
The difference between all-state and traditional encryption (from: IBM)
Combined with other technologies, FHE can also selectively restrict decryption features, allowing people to see only the parts of the files they have access to to and necessary to get the job done.
FHE has bright prospects in many areas, such as extracting valuable content from private data, data set intersections, genomics analysis, forgotten queries (i.e., queries that do not show any intent), and secure outsourcing.
Fully Homomorphic Toolkit Encryption for MacOS and iOS (via)
For industries such as finance and healthcare that are critical to data, FHE technology allows extensive sharing of necessary data, such as financial or patient health records, without limiting access to all.
IBM now offers a full-state encryption toolkit for Apple’s macOS and iOS platforms on GitHub, and linux and Android versions are expected to arrive in a few weeks.