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@article{166430,
        author = {Supriya Ganne and Rajesh Arepalli and Sheik Sheema and Lakshmi Saroja Devi Allada and Damisetti Govardhan Kalyan Kumar and Subbarao Grandhi},
        title = {PREDICTING THE STRENGTH OF PASSWORD USING ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {1136-1140},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166430},
        abstract = {Now-a-days the technology was immensely expanding, so the secure authentication methods become more prominent. Although there are many alternatives to passwords for accessing control, but password is a more convenient way to authenticate the identity. Passwords are used for numerous functions in daily life like accessing programs, networks, websites etc. Passwords serve as a primary means of user authentication method but they are vulnerable to various attacks due to the prevalence of weak and easily guessable passwords. Every day, the need of choosing and utilising strong passwords was increasing. The goal of this project is to develop an accurate system which is capable of determining the strength of a password based on its linguistic properties. We are going to build a model to predict the password strength using machine learning Algorithm and Natural language processing in python. The outcome of this project can contribute significantly to the field of password security. By accurately predicting the password strength using NLP techniques we can assist users in creating stronger passwords and enhances overall cybersecurity.},
        keywords = {machine learning, algorithm, python, natural language processing},
        month = {July},
        }