CARV Teams Up With Mind Network To Integrate FHE For Secure Random Number Generation

Modular identity and data layer (IDL) platform CARV has announced a partnership with Web3 infrastructure provider Mind Network to integrate Fully Homomorphic Encryption (FHE) for secure, unbiased, and verifiable random number generation (RNG).

Through this collaboration, CARV will integrate the FHE-powered RNG into its ecosystem via MindV Hub. The implementation of FHE will be used to generate random numbers for various in-game events, loot generation, and other game mechanics, ensuring all outcomes are fair, transparent, and verifiable, thus minimizing the risk of manipulation or unfair advantages.

Additionally, in the realm of AI model training, FHE will enable random number generation to initialize model parameters and select data subsets for training while preserving data privacy. This approach ensures that AI models are trained on encrypted data, reducing the potential for data leakage.

CARV will also use FHE to generate secure random numbers for simulations, decision-making processes, and governance mechanisms within decentralized applications. This will help ensure that critical decisions, such as validator or leader selection, are made in a secure, unbiased, and tamper-proof manner.

How Will FHE Integration Benefit CARV And Its Ecosystem?

By incorporating FHE into its modular data layer for RNG, CARV aims to provide significant benefits, including improved fairness in gaming, enhanced privacy for AI computations, and secure, trustworthy decision-making within decentralized systems.

By integrating FHE with its modular data layer, CARV is establishing a new benchmark for secure, private, and transparent RNG within decentralized ecosystems. This solution ensures fairness, privacy, and trust across various applications, including gaming, AI model training, and data-driven decision-making. CARV’s FHE-powered RNG contributes to the larger vision of creating a secure and decentralized future for blockchain and AI technologies.

Users can participate in the CARV Hub in two ways: by holding a CARV node pass, which grants eligibility to register as a Voter, directly engage in FHE voting and node consensus verification while earning vFHE rewards; or by holding vFHE tokens, using the Delegate function to delegate vFHE to the Hub, allowing indirect participation in FHE validation and earning corresponding rewards.

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