New Algorithm of Weak Password Detection

2023

Closed access Metadata (CSL-JSON)
DOI 10.1109/wincom59760.2023.10323000
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

This article presents a program to detect weak passwords by leveraging combinations of user-provided information such as name, surname, and birth year. The program incorporates a dictionary of passwords susceptible to brute-force attacks, which is dynamically expanded with new combinations as new users provide their information. The program identifies and alerts users about weak passwords using this dictionary, promoting more robust security practices. This article explores the program’s motivations and implementation in a front-end application and discusses the significance of password strength in safeguarding personal information. Additionally, it delves into existing research on password security, drawing on various articles to highlight the importance of addressing weak passwords as a crucial aspect of data protection.