Chaincamp

A minimal blog on the building blocks of ethereum & cryptographic primitives

14 Feb 2024

Verifiable Delay Function

A Verifiable Delay Function (VDF) is a cryptographic primitive that requires a specified amount of time to compute, even on a parallel computer, but whose output can be quickly verified by others. VDFs have significant implications for blockchain and distributed ledger technologies, offering a way to achieve security and fairness in various protocols without relying on the assumption of synchronized clocks.

Key properties and aspects of VDFs include:

  1. Delay Requirement: The function takes a predetermined time to compute, ensuring that the result cannot be obtained instantly. This delay is crucial for applications where timing plays a vital role in security or fairness.

  2. Verifiability: Once the function’s output is computed, anyone can efficiently verify the correctness of the result. This property is essential for trust in decentralized environments like blockchains, where participants must agree on the validity of transactions or events.

  3. Sequential Computation: The computation of a VDF cannot be significantly sped up by using parallel processing, making the delay predictable and uniform across different hardware capabilities.

  4. Applications in Blockchain: VDFs are used in blockchain protocols to enhance security and decentralization. For example, they can be employed in Proof of Stake (PoS) networks to select validators in a way that is unpredictable until the VDF has been computed, reducing the risk of manipulation or attack.

  5. Randomness Beacons: VDFs can generate unpredictable, tamper-proof random numbers, which are vital for lotteries, cryptographic protocols, and blockchain validator selection mechanisms.

Ethereum, among other blockchain projects, is exploring the use of VDFs for various purposes, including randomness generation in consensus mechanisms and other protocol-level functionalities. Their implementation aims to improve the security, fairness, and robustness of the network against attacks or manipulation.