Genetic Algorithm for Decrypting User’s Personal Information

With the information system has been greatly improved, how to fast and effective crack the passwords can be of great significance to detect unknown information, obtain important information, prevent hacker attacks, and protect information security in detective work. Genetic algorithm is a kind of evolutionary algorithm. It searches for the optimal solution by mimicking the choice of nature and the mechanism of genetics. Genetic algorithm has three basic operators: selection, crossover, and mutation. The main method of numerical method for solving NP problem is an iterative operation. This paper studies the possible consequences of password cracking and how to quickly and effectively enter the system to decrypt the personal information. The main work is study the algorithmic process of genetic algorithm and solve the problem. First introduces the specific genetic process of genetic algorithm and then uses an example to show how genetic algorithm works. In the analysis of how genetic algorithms works, it is better we develop better method to avoid the information has been stolen.