Programmers and design engineers might think of cryptographic-security algorithms as a form of black magic created by scientists in darkened labs. The Advanced Encryption Standard (AES), Secure Hash ...

The AI system does not collect biometric data, but instead recognises individuals in crowds using unique identification. The algorithm captures and processes the unique physiology of persons and ...

Industry experts agree that the future of two widely used security algorithms is fated, but with no clear alternatives in sight, products that rely on them may have to remain ‘good enough’ for some ...

From a security standpoint, the best thing AI has going for it is that it’s in a state of perpetual change. That also may be the worst thing. The problem, at least for now, is that no one knows for ...

The National Security Agency became the latest federal agency to begin its digital migration to quantum-resistant networks, as the emerging technology poses major cybersecurity threats to unprepared ...

Agencies should test post-quantum cryptography algorithms with their software and decide whether information security benefits outweigh the efficiency losses ahead of a federally mandated transition, ...

As cybercriminals gain access to increasingly more computing power capable of breaking existing encryption algorithms in ...

AI and ML algorithms rely heavily on vast data for training and development. However, the availability of high-quality, diverse, and secure data can be a significant challenge. In fact, upon not being ...

Image encryption and associated security algorithms have become critical in protecting visual data as digital communication networks expand. Contemporary methods combine traditional cryptographic ...

Quantum computing technology is developing rapidly, promising to solve many of society’s most intractable problems. However, as researchers race to build quantum computers that would operate in ...