- Tezos has introduced TzEL, an experimental privacy rollup using zk-STARK proofs and post-quantum cryptography, to the testnet.
- TzEL addresses the “harvest now, decrypt later” problem. This means that encrypted data stored today could be decrypted once quantum computing matures.
- This project uses Tezos’ data availability layer and rollup architecture to process up to 300 KB of proofs per transaction.
paper We’ve launched TzEL, an experimental privacy rollup Deployed to testnet, it is built as one of the first attempts to design private transactions. Resisting attacks from quantum computing. projects are combined zk-STARK proof using post-quantum cryptographyintentionally moving away from the elliptic curve cryptography that dominates most of the crypto industry today.
The core issue that TzEL seeks to address is not current privacy. future of privacy. A typical blockchain transaction is deliberately exposedHowever, privacy systems introduce a layer of encryption. Hide amounts, recipients, and sensitive metadata. Now, that encryption works well, but the on-chain data is persistent. someone could do it Collect and retain encrypted information now Until we have a sufficiently powerful quantum computer, break the code Protect it — an attack vector known as “Harvest now, decrypt later”.
Tezos gets TzEL working on testnet
This system allows users to: shield tedz Within the rollup, privately transfer between participants and unshield back to the base layer.. It also includes built-in features such as encrypted notes, key visibility, key discovery, and delegated proofs. selective disclosure: Transactions are private by default, but Users can disclose certain information if they wish.
TzEL differs from purely theoretical exercises in that Already includes a functional rollup stack, wallet, bridge flow, proof infrastructure, and accessible tools For developers Directly on testnet.
of zk-STARK proof size This is one of the most important technical challenges to solve. Each transaction is 300KB, volume to be costly or completely unfeasible Iterates over the basic layer of many networks. TzEL addresses this issue through Tezos. Data availability layeris known as Daland its rollup architecture — an infrastructure designed for Can process significantly larger amounts of data more efficiently.
This product changes functionality that is usually described in abstract terms. Scalability, modularity and data availability —Turn it into something tangible and measurable. Although TzEL is still experimental code and not suitable for trading with real value, it really shows what the infrastructure Tezos has been building in recent years is actually for.
