EnyaFHE provides an API and SDK for using Fully Homomorphic Encryption (FHE) in your app. With FHE, you can privately compute on sensitive data. This means that, depending on how you set things up, only the data source (e.g. the edge user) can see the results of the computation. Use cases include secure surveys, distributed finance, and financial products.

PALISADE and BVFRNS

For more information and support, please visit www.enya.ai or contact [email protected] .

Simple FHE demo

This computes the inner product of a vector ([170, 10, 20, 30, 0, 0, 0, 0]) with another vector (as configured in sample_algo). The sample_algo has been preconfigured to be [5,1000,500,100000,100000,50000,50000].

$ node ./__test__/simple_fhe_demo.js

This should return return { status_code: 200, secure_result: 3020850 }, since (1705)+(101000)+(20500)+(30100000) = 3020850.

test.js is a comprehensive test that looks at basic encryption (Test 1), basic decryption (Test 2), the full API (Test 3), and the full API as accessed via a wrapper function (Test 4).

$ node ./__test__/__test__.js

This will perform the four tests and give timing data.

__test__float.js encrypts and decrypts the number 17.5.

$ node ./__test__/__test__float.js

This will perform the four tests and give timing data.