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DPAPI doesn't store any persistent data for itself; instead, it simply receives plaintext and returns ciphertext (or conversely).. DPAPI security relies upon the Windows operating system's ability to protect the master key and RSA private keys from compromise, which in most attack scenarios is most highly reliant on the security of the end user's credentials.
In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability. [1] ( The number of buckets is much smaller than the universe of possible input items.) [1] Since similar items end up in the same buckets, this technique can be used for data clustering and nearest neighbor search.
File verification is the process of using an algorithm for verifying the integrity of a computer file, usually by checksum.This can be done by comparing two files bit-by-bit, but requires two copies of the same file, and may miss systematic corruptions which might occur to both files.
INI files stored each program's settings as a text file or binary file, often located in a shared location that did not provide user-specific settings in a multi-user scenario. By contrast, the Windows Registry stores all application settings in one logical repository (but also in a number of discrete files) and in a standardized form.
The registry is stored on disk as several different files called "hives." One, the System hive, is loaded early in the boot sequence and provides configuration information required at that time. Additional registry hives, providing software-specific and user-specific data, are loaded during later phases of system initialization and during user ...
This provides several benefits. For one, when a file is sent to the CAS for storage, the hash function will produce a key and then check to see if that key already exists in the directory. If it does, the file is not stored as the one already in storage is identical. This allows CAS systems to easily avoid duplicate data.
Nilsimsa Hash is an anti-spam focused locality-sensitive hashing algorithm. ssdeep is a fuzzy hashing tool based on context-piecewise triggered hashing to compare files. [4] sdhash is a fuzzy hashing tool based on using bloom filters to determine whether one file is contained within another or how similar two files are to each other. [11]
HashKeeper compares hash values of known to be good files against the hash values of files on a computer system. Where those values match "known to be good" files, the examiner can say, with substantial certainty, that the corresponding files on the computer system have been previously identified as known to be good and therefore do not need to ...