The Problem of Data Compromise in the Era of Quantum Computing

Solving modern problems of ecology and the environment requires the use of large amounts of data and, accordingly, the use of quantum computers and artificial intelligence.This article examines the challenges associated with ensuring secure information exchange in the context of integrating quantum computers into communication networks.These quantum computers possess significantly higher processing speeds compared to standard von Neumann architecture computers.Considering that symmetric and asymmetric encryption algorithms rely on the assumption that breaking the used ciphers within a reasonable timeframe is practically impossible, the advent of quantum computers with their immense computational power calls into question the long-term stability of these ciphers.The primary threat posed by quantum computers is data compromise, which involves intercepting and accumulating encrypted data for future decryption attempts.To mitigate this threat, it is proposed to use a neural network to classify suspicious logs recorded by the operating system's security subsystem.