The final bell rang Thursday at Infosecurity Europe 2026 — the 31st edition of Europe's largest annual cybersecurity gathering — as the industry's most uncomfortable thesis moved from theoretical to ...

note 1: Small data velocity is a rough evaluation of algorithm's efficiency on small data. For more detailed analysis, please refer to next paragraph. note 2: some algorithms feature faster than RAM ...

With practical quantum computers predicted to arrive in the next decade or so, technologists worry about the risks to encrypted data traveling over current Web protocols. But a new infrastructure ...

Abstract: Data similarity (or distance) computation is a fundamental research topic which underpins many high-level applications based on similarity measures in machine learning and data mining.

The advent of quantum computing poses substantial risks to conventional cryptographic mechanisms, particularly hash-based authentication and zero-knowledge identification (ZKI) protocols, which are ...

This is a collection of both secure hash functions (such as SHA256 and RIPEMD160), and various encryption algorithms (AES, DES, RSA, ElGamal, etc.). The package is structured to make adding new ...

AI agents used in e-commerce necessitates secure payment protocols capable of handling high-determinism user authorization, agent authentication, and non-repudiable accountability. The Agent Payments ...

In today’s digital landscape, securing sensitive information is paramount. One of the most common methods for protecting passwords is through hashing, a technique that transforms plain text into a ...

With the rapid development of digital communications, sensitive digital storage security, especially that of images, remains a significant challenge. Most of the existing hash algorithms cannot meet ...