String-Matching Problem
... Rabin-Karp Algorithm Correctness: T is a string of
characters over an alphabet of size d, P
is string of characters over an alphabet of
size d and |P| <= |T|, d is the size of the
alphabet and q is a prime number
...
... Rabin-Karp Algorithm Correctness
Design and Implementation of a High
... - to extend hashes to left or right using fewer bits - standard hashes expensive: are compared to all shifts in f_old - continuation hashes: only compared to one position “is this a continuation of an adjacent larger hash?” ...
... - to extend hashes to left or right using fewer bits - standard hashes expensive: are compared to all shifts in f_old - continuation hashes: only compared to one position “is this a continuation of an adjacent larger hash?” ...
The Mathematics Behind the Birthday Attack
... basic model and there is more but delving too deep into different types of Message Authentication Codes would be a digression). An important concept here is that when a tag is generated, it involves ‘Hash Functions’, which assign Hash Values to piece of messages. Here, a ‘Hash’ (or some say ‘cryptogr ...
... basic model and there is more but delving too deep into different types of Message Authentication Codes would be a digression). An important concept here is that when a tag is generated, it involves ‘Hash Functions’, which assign Hash Values to piece of messages. Here, a ‘Hash’ (or some say ‘cryptogr ...
Using Hash Components
... • Generally, Key order should follow data hierarchy • Within a program, keys should follow function › The fewer the better › Save listing order until last ...
... • Generally, Key order should follow data hierarchy • Within a program, keys should follow function › The fewer the better › Save listing order until last ...
presentation
... Hash Objects enables you to handle data using dynamic keys within temporary datasets. ...
... Hash Objects enables you to handle data using dynamic keys within temporary datasets. ...
IP puzzles probabilistic networking and other projects at
... Brute-force search within range Fine-grain difficulty adjustment Difficulty adjusted via range adjustment Multiples of hash time (~1µs) ...
... Brute-force search within range Fine-grain difficulty adjustment Difficulty adjusted via range adjustment Multiples of hash time (~1µs) ...
Locality Preserving Hashing Kang Zhao, Hongtao Lu and Jincheng Mei
... be able to uncover the intrinsic geometric structure of the manifold, e.g., the neighborhood relationships between subregions. Most existing hashing methods only consider this issue during mapping data points into certain projected dimensions. When getting the binary codes, they either directly quan ...
... be able to uncover the intrinsic geometric structure of the manifold, e.g., the neighborhood relationships between subregions. Most existing hashing methods only consider this issue during mapping data points into certain projected dimensions. When getting the binary codes, they either directly quan ...
Hash function
A hash function is any function that can be used to map data of arbitrary size to data of fixed size. The values returned by a hash function are called hash values, hash codes, hash sums, or simply hashes. One use is a data structure called a hash table, widely used in computer software for rapid data lookup. Hash functions accelerate table or database lookup by detecting duplicated records in a large file. An example is finding similar stretches in DNA sequences. They are also useful in cryptography. A cryptographic hash function allows one to easily verify that some input data maps to a given hash value, but if the input data is unknown, it is deliberately difficult to reconstruct it (or equivalent alternatives) by knowing the stored hash value. This is used for assuring integrity of transmitted data, and is the building block for HMACs, which provide message authentication.Hash functions are related to (and often confused with) checksums, check digits, fingerprints, randomization functions, error-correcting codes, and ciphers. Although these concepts overlap to some extent, each has its own uses and requirements and is designed and optimized differently. The Hash Keeper database maintained by the American National Drug Intelligence Center, for instance, is more aptly described as a catalogue of file fingerprints than of hash values.
