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FHEVM download for Linux

Free download FHEVM Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named FHEVM whose latest release can be downloaded as v0.8.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named FHEVM with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

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FHEVM


DESCRIPTION

FHEVM is a framework built by Zama to enable confidential smart contracts on EVM-compatible blockchains using Fully Homomorphic Encryption (FHE). It lets developers write Solidity contracts that handle encrypted inputs, encrypted state, arithmetic and logical operations on encrypted types, while maintaining privacy (data always encrypted), composability (encrypted state works alongside public state), and security (via threshold decryption, KMS, etc). The framework includes on-chain and off-chain components (contracts, coprocessors, gateway, utilities) to orchestrate the whole encrypted data pipeline.



Features

  • Solidity integration: write smart contracts with encrypted data types (e.g. euint, ebool, eaddress) using standard toolchains like Hardhat or Foundry
  • Programmable privacy: developer controls what parts of state/transactions are encrypted, who can decrypt via access control lists etc
  • Full range of operations on encrypted data: arithmetic, comparisons, boolean, bitwise, branching (including encrypted conditionals)
  • High precision integers (up to 256 bits) when using encrypted integer types
  • Security via threshold decryption / key management (KMS), ensuring no single actor can compromise encrypted state
  • Use of symbolic execution for on-chain FHE operations (i.e. handles/pointers emitted, off-chain coprocessor does heavy work), enabling efficiency and scalability


Programming Language

Rust


Categories

Encryption

This is an application that can also be fetched from https://sourceforge.net/projects/fhevm.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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