Computational Hardness

Definition ∞ Computational hardness describes the difficulty of solving a mathematical problem, measured by the resources required for a computer to find a solution. In cryptography and blockchain, problems with high computational hardness are selected to secure systems, rendering them resistant to brute-force attacks. The security of many cryptographic algorithms relies on the assumption that certain problems are practically impossible to solve within a reasonable timeframe. This property forms the foundation of cryptographic security.
Context ∞ Discussions surrounding computational hardness often appear in news related to advancements in quantum computing and their potential impact on current cryptographic standards. Researchers and developers are exploring post-quantum cryptography to address future threats to blockchain security. The ongoing pursuit of new algorithms with demonstrable computational hardness against advanced computing capabilities remains a critical area of research and development.