Compares SHA and AES encryption algorithms, highlighting key differences in their purpose, design, outputs and strengths for hashing versus encryption.
Explore the likelihood of collision in a 128-bit hash and understand the importance of using adequately sized hashes for security purposes.
CRC is not optimal as a hash function compared to algorithms like MD5 and SHA due to limitations in uniformity, determinism, and collision resistance.
Repeatedly hashing the same input will not eventually produce the same hash value, due to properties of cryptographic hashing algorithms.
Perfect hashing eliminates collisions by uniquely mapping keys to slots in the hash table, providing optimal efficiency for lookups, inserts, and deletes.
Hashing, salting and cryptographic algorithms together enable confidentiality and integrity to protect sensitive data and communications.
Hashing functions map data to fixed numeric values. Directly hashing negatives can cause issues. This article discusses techniques for handling negatives.
Exploring the possibility of two different hashes being the same and the implications in computer science and cryptography.
Comparing file contents using cryptographic hashes enables more reliable duplicate detection than just matching filenames.
