Innovation

Realize that our homomorphic encryption eliminates the need for bootstrapping, noise, relinearization, modulo switch, and other computationally expensive properties found in existing schemes. This revolutionary approach removes the burden of huge ciphertext expansion and low computations, making our solution highly practical and efficient compared to all existing schemes such as BGV, BFG, CKKS and so on, and libs built over them: SEAL, HElib, PALISADE and so on.

MathLock introduces a paradigm shift in data security through its distinctive homomorphic encryption. Our unique approach eliminates noise, bootstrapping, and ciphertext expansion that commonly plague other systems. This sets MathLock apart, delivering a remarkably efficient and fast solution. With robust key management, advanced encryption, authorized decryption, and mathematical operations on encrypted data, We ensure unmatched protection and privacy. Welcome to a new era of data security, where innovation thrives and speed prevails

In our approach homomorphic properties are native for encryption/decryption and there is no need to use the noise, bootstrapping, modulus switching and many other making overhead constructions used in ALL current FHE schemes.

Please find our benchmarks for python based prototypes here.

Note! That we are close to completing the C++ product implementation, which will demonstrate significantly higher performance.

Fully Homomorphic Encryption is:

A groundbreaking cryptographic technique that revolutionizes numeric data processing and analysis while it remains encrypted. In simple terms, it's like performing calculations on a securely locked box with our numbers, eliminating the need for prior decryption. With Fully Homomorphic Encryption (FHE), computations can be executed on encrypted data, delivering privacy, security, and valuable insights. Fully Homomorphic Encryption (FHE) empowers encrypted data computations, ensuring privacy, security, and meaningful results. This innovative numeric approach has the potential to reshape data security and privacy across industries, unveiling new horizons for safeguarding numeric confidentiality.

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