Module homomorphic describes a property of certain cryptographic schemes where computations can be performed directly on encrypted data without needing to decrypt it first. This allows for processing sensitive information while maintaining its confidentiality throughout the computation. While fully homomorphic encryption permits arbitrary computations, module homomorphic schemes typically support specific types of operations, offering a practical balance between privacy and computational efficiency. It is a key concept in privacy-preserving data processing.
Context
Module homomorphic encryption represents a highly advanced cryptographic technique with significant implications for privacy in decentralized systems and cloud computing. Its application in blockchain technology is still largely theoretical or in early research stages, but news might cover breakthroughs in its practical implementation for secure multi-party computation or confidential smart contracts. The development of efficient module homomorphic schemes could substantially enhance data privacy in digital asset transactions and decentralized applications.
Greyhound is the first concretely efficient lattice-based polynomial commitment scheme, enabling post-quantum secure zero-knowledge proofs with sublinear verifier time.
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