- By increasing the noise control process, DBFV facilitates the use of deeper circuits before expensive bootstrapping is necessary.
- Fhenix plans to implement DBFV as a core feature of its infrastructure later this year, deploying pure cryptography to solve a barrier that many believe could never be overcome.
Fhenix, a pioneering developer of encrypted smart contracts using fully homomorphic encryption (FHE), has set a new milestone for blockchain privacy with the creation of its advanced Decomposed BFV technology. It is a remarkable new cryptographic technique that will transform the performance and scalability of precise FHE schemes and enable robust, high-throughput, privacy-preserving computation for real-world applications.
FHE makes it possible to perform computations on encrypted data without ever having to decrypt it. It holds great promise in data privacy, enabling the secure processing and analysis of sensitive information. Nevertheless, FHE has not yet fulfilled this promise because the technology has always been limited by a major performance barrier, namely the catastrophic growth of computational costs and the noise of performing arithmetic operations on large numbers.
Due to the need for impeccable accuracy, precise schemes such as BFV and BGV – which are crucial for computing financial logic – pose a particularly serious scaling problem for FHE. As plaintext numbers increase, noise control costs rise rapidly, making high-volume systems unworkable in the real world.
Accelerated computational throughput
Fhenix’s DBFV marks a paradigm shift for coded arithmetic. DBFV significantly increases the performance and scalability of FHE by breaking down discrete, massive plaintext data into smaller, independently managed BFV ciphertexts, or “limbs,” during the encryption process.
For years it was simply not possible to perform accurate FHE on larger numbers. Even though the calculation was accurate, when developers ran production workloads in the real world, they quickly hit a performance wall. The significant startup costs made it infeasible for any application.
By increasing the noise control process, DBFV facilitates the use of deeper circuits before expensive bootstrapping is necessary. It controls the noise more effectively over many ‘limbs’, increasing the useful depth of computation. Although certain operations such as multiplication become slightly more expensive compared to regular BFV, avoiding frequent bootstrapping by DBFV significantly reduces the overall computational cost of noise recovery. For the first time, it enables the cost-effective processing of persistent encrypted workloads, making FHE practical for decentralized financial protocols and enterprise-level blockchain applications.
DBFV will facilitate the creation of a new generation of FHE applications that require speed and accuracy, including financial logic, stateful applications and high-volume data aggregation.
Fhenix plans to implement DBFV as a core feature of its infrastructure later this year, deploying pure cryptography to solve a barrier that many believe could never be overcome. By redefining the relationship between accuracy, noise, and circuit depth, FHE will become a deployable reality and enable developers to create complex, privacy-preserving financial applications without compromising precise performance.
The research and development company Fhenix is at the forefront of fully homomorphic encryption (FHE) for encrypted smart contracts. Starting with a laser focus on Private DeFi, Fhenix is developing the infrastructure to deliver FHE everywhere – allowing developers, institutions and consumers to design and use financial apps without sacrificing confidentiality or composability.