SECURE OF WEB-ACCOUNTS USING PERSONAL-PCFG

For security of the data as well as maintaining privacy over the internet, authentication is used. For this the password is used but the user uses small password, easy to memorize password or password which can be guessed easily. People use personal information as their password for easy memorization. In this paper, we analysis the various passwords from the leaked dataset to research their personal information for finding the relation between them and the password. We use Probabilistic Context-Free Grammars (PCFG) method with semantic-rich method to propose Personal-PCFG method. This method will help us to crack the password much faster than the PCFG method which increases the chances of successful password crack. To protect user from this type of attacks we use distortion function.