A new research paper reframes the simulation hypothesis, asking whether reality could be simulated and what science can test.

Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.

Swift Homomorphic Encryption implements a special form of cryptography called homomorphic encryption (HE). HE is a cryptosystem which enables computation on encrypted data. The computation is ...

Fully Homomorphic Encryption (FHE) allows data to be processed without ever being decrypted. This means a third party can run meaningful computations on encrypted information without seeing the ...

Abstract: In response to the security and privacy issues associated with sensing devices in contemporary crowd sensing systems, the paper proposes a crowd sensing networks method based on the MFHE ...

The pace of cloud adoption is relentless. Companies across every industry are racing to move their infrastructures to scalable, flexible, cloud-native environments. But as organizations go all-in on ...

Marshall, a Mississippi native, is a dedicated IT and cybersecurity expert with over a decade of experience. Along with Techopedia, his articles can be found… Encryption does a good job of protecting ...

Zama, a cryptography company pioneering fully homomorphic encryption (FHE) for blockchains, said it raised $57 million in a series B round co-led by Blockchange Ventures and Pantera Capital. The team ...

Quantum computers could crack a common data encryption technique once they have a million qubits, or quantum bits. While this is still well beyond the capabilities of existing quantum computers, this ...

The spotlight on encrypted apps is also a reminder of the complex debate pitting government interests against individual liberties. Governments desire to monitor everyday communications for law ...

How FHE has evolved from a theoretical concept to a practical technology that’s ready for real-world applications. The unique benefits and challenges of implementing FHE, including why specialized ...

DataKrypto’s FHEnom for AI combines real-time homomorphic encryption with trusted execution environments to protect enterprise data and models from leakage, exposure, and tampering. AI is here – and ...