torus fully homomorphic encryption — a scheme enabling computation on encrypted data
in cyber, TFHE enables private cyberlinks and confidential focus computation without revealing plaintext content. neurons can submit encrypted claims about relevance, and the tru can process them while they remain ciphertext
how it works: data is encoded as elements of the real torus $\mathbb{T} = \mathbb{R}/\mathbb{Z}$. homomorphic gates (AND, OR, XOR) operate on ciphertext with bootstrapping to reset noise after each operation. this allows arbitrary circuits on encrypted inputs
applications in cyber:
- private cyberlinks — link particles without revealing the connection publicly
- confidential focus — compute cyberank over encrypted graph segments
- sealed knowledge — neurons contribute to collective intelligence while preserving data sovereignty
TFHE is one of several FHE schemes. its advantage is fast bootstrapping: each gate operation refreshes the ciphertext in milliseconds, making it practical for real-time consensus workloads
the integration path: stark proofs verify that encrypted computations were performed correctly, combining zero-knowledge with homomorphic encryption
see cryptography, encryption, zero-knowledge, stark, cyberlinks