Although quantum computing is not yet widespread, current encryption methods pose a significant risk of cyberattacks, the agency said. The U.S. National Institute of Standards and Technology this week ...

The original version of this story appeared in Quanta Magazine. In our increasingly digital lives, security depends on cryptography. Send a private message or pay a bill online, and you’re relying on ...

Anthropic said its Mythos model—which currently remains available only to a select group of trusted users—was able to advance attacks against two cryptosystems. The first system is HAWK, a digital ...

Features: From public-key cryptography to local AI, Whitfield Diffie reflects on how trust is changing as enterprises confront AI, quantum risk and new security architectures.

Almost every secure connection on the internet, from a bank’s login page to a messaging app, relies on math problems that an ...

AUSTIN, Texas--(BUSINESS WIRE)--NIST published the final version of FIPS 203 (ML-KEM), FIPS 204 (ML-DSA), and FIPS 205 (SLH-DSA) on August 13, 2024, making the first post-quantum cryptographic (PQC) ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The creation of classical computing may have paved the way for the modern ...

There is no doubt that quantum computers will play a significant role in helping the world solve complex challenges not possible on current classical computers. However, quantum computers also pose a ...

Cryptography is a method of protecting information and communications using codes, so that only those for whom the information is intended can read and process it. In computer science, cryptography ...

Two researchers have improved a well-known technique for lattice basis reduction, opening up new avenues for practical experiments in cryptography and mathematics. In our increasingly digital lives, ...

Mathematicians often toil in obscurity, and that's likely because few people, apart from fellow mathematicians who share the same sub-specialty, understand what they do. Even when algorithms have ...