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In computer science, brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique and algorithmic paradigm that consists of systematically checking all possible candidates for whether or not each candidate satisfies the problem's statement.
This is known as an exhaustive key search. This approach doesn't depend on intellectual tactics; rather, it relies on making several attempts. [citation needed] A brute-force attack is a cryptanalytic attack that can, in theory, be used to attempt to decrypt any encrypted data (except for data encrypted in an information-theoretically secure ...
In the field of computer science, the method is called generate and test (brute force). In elementary algebra , when solving equations, it is called guess and check . [ citation needed ]
The correctness of each solution can be verified quickly (namely, in polynomial time) and a brute-force search algorithm can find a solution by trying all possible solutions. The problem can be used to simulate every other problem for which we can verify quickly that a solution is correct.
Besides incorporating a salt to protect against rainbow table attacks, bcrypt is an adaptive function: over time, the iteration count can be increased to make it slower, so it remains resistant to brute-force search attacks even with increasing computation power.
A security hacker or security researcher is someone who explores methods for breaching defenses and exploiting weaknesses in a computer system or network. [1] Hackers may be motivated by a multitude of reasons, such as profit, protest, information gathering, [2] challenge, recreation, [3] or evaluation of a system weaknesses to assist in formulating defenses against potential hackers.
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Fuzzing: Brute Force Vulnerability Discovery, 2007, ISBN 0-321-44611-9. H. Pohl, Cost-Effective Identification of Zero-Day Vulnerabilities with the Aid of Threat Modeling and Fuzzing, 2011; Fabien Duchene, Detection of Web Vulnerabilities via Model Inference assisted Evolutionary Fuzzing, 2014, PhD Thesis