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@article{169883,
        author = {Atharv Patil and Aryan Patil and Manisha Mali},
        title = {Strengthening Password Security through Cryptography and Automated Recommendations},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {2323-2328},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169883},
        abstract = {Password protection is one of the essential parts of cyber protection, as it helps to avoid an unauthorized access to users’ data. In this paper, an enhanced password recommendation and encryption model for strength assessment, improved suggestion, and cryptographic protection of data is introduced and implemented. In terms of securing passwords, our system offers One-Time Password based approach in decrypting passwords in case of password theft. This work incorporates cryptographic system, utilizing the Fernet library and performs the OTP verification from the PyOTP. However, a password strength checker and password generator make the users’ security better by providing the users with good password which are easily memorable. A test is run to check these parameters of the system and to see how very realistic it may be.},
        keywords = {Cryptography, Cybersecurity, Encryption, Machine Learning, OTP, Password Security, Password Strength Analysis, User Authentication]},
        month = {November},
        }