- By enhancing the noise control process, DBFV facilitates the use of deeper circuits before expensive bootstrapping is required.
- Fhenix hopes to implement DBFV as a core feature of its infrastructure later this year, arming itself with pure cryptography to solve barriers that many felt would never be overcome.
Fhenix, a pioneering developer of cryptographic smart contracts using Fully Homomorphic Encryption (FHE), has set a new milestone in blockchain privacy with the creation of cutting-edge decomposition BFV technology. This is a remarkable new cryptographic technique that changes the performance and scalability of precise FHE schemes and enables robust, high-throughput, privacy-preserving computations for real-world applications.
FHE allows you to perform calculations on encrypted data without decrypting it. This holds great promise for data privacy, potentially enabling secure processing and analysis of sensitive information. Nevertheless, FHE has not yet fulfilled this promise, as FHE technology has always been limited by significant performance barriers. That’s a devastating increase in computational cost and noise when performing a huge number of operations.
Accurate schemes such as BFV and BGV, which are essential for financial logic calculations, pose particularly severe scaling problems for FHE, as they require perfect accuracy. As the number of plaintexts increases, the cost of noise mitigation increases rapidly, rendering real-world high-capacity systems inoperable.
Accelerated computational throughput
Phenix’s DBFV represents a paradigm shift in cryptographic operations. DBFV significantly improves the performance and scalability behavior of FHE by splitting a single large plaintext data into smaller independently managed BFV ciphertexts, or “rims,” during the encryption process.
For many years, it has been impossible to perform accurate FHE on larger numbers. Even if the calculations are accurate, developers quickly hit a performance wall when running real production workloads. Bootstrapping costs too much money to run any application anymore.
By enhancing the noise control process, DBFV facilitates the use of deeper circuits before expensive bootstrapping is required. It more effectively controls noise across many “limbs” and enhances the computational depth available. Although certain operations, such as multiplication, are slightly more expensive than regular BFV, DBFV avoids frequent bootstrapping, which significantly reduces the total computational cost of noise repair. For the first time, cost-effective computing of persistent cryptographic workloads is enabled, making FHE practical for decentralized financial protocols and enterprise-grade blockchain applications.
DBFV facilitates the creation of a new generation of FHE applications that require speed and accuracy, such as financial logic, stateful applications, and aggregation of large amounts of data.
Fhenix hopes to implement DBFV as a core feature of its infrastructure later this year, arming itself with pure cryptography to solve barriers that many felt would never be overcome. By redefining the relationship between precision, noise, and circuit depth, FHE becomes a deployable reality, allowing developers to create complex financial applications that protect privacy without compromising accurate performance.
Research and development company Fhenix is leading the way in fully homomorphic encryption (FHE) for encrypted smart contracts. Phoenix is developing the infrastructure to deliver FHE everywhere, starting with a focus on private DeFi. This enables developers, institutions, and consumers to design and consume financial apps without sacrificing confidentiality or configurability.
