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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM17298

Password Strength Analysis: A Survey

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM17298

Volume:

6 |

12 |

Dec 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM17298

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SP

Sukrut Pendharkar

KB

Krutarth Bhatt

SK

Sandeep Kumar

PSM

Prof. Saritha Murali

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Abstract

This paper outlines research based on password strength measurement analysis using various machine learning approaches. In the current world, a password is the most indispensable authentication mechanism concerning any system security. Although there are multiple authentication methods available nowadays which provide improved security such as biometrics and smart cards still the password authentication mechanism is auspicious to everyone for enhanced system security. Generally, humans prefer to set a password related to their birthplace, date of birth, keyboard patterns, dictionary words, phone number, etc. Online or offline attackers and intruders can guess these passwords easily and intrude the system security. Privacy and data protection have become a need today. Cyber security is growing in its importance in literally every domain in recent years. Every person must safeguard their data and have a basic understanding of the technical developments taking place in many businesses.

KEYWORDS

Machine learning password Multi-Layer Perceptron

Cite This Article

Sukrut Pendharkar, Krutarth Bhatt, Sandeep Kumar, Prof. Saritha Murali, "Password Strength Analysis: A Survey," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 12, Dec 2022. https://doi.org/10.55041/IJSREM17298

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Publication Date

12/25/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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