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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM17298
Volume:
6 |
12 |
Dec 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
12/25/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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