Paper Details

Name: Shubham Choudhary, Mukhtiar Singh, Keshav Sharma, Aditya Shrivastav, Vickey Shaw & Anil Kumar Yadav
Country: India

Year: 2026
Volume: Volume No: 13, January, Year: 2026 (Special Issue)
Page Number: 356-361
DOI: https://doi.org/10.5281/zenodo.19016731

ABSTRACT
The need of secure password management has significantly increased in the contemporary digital era due to the growing frequency of cyberthreats and data breaches. This project presents a Secure Password Management System that enhances
the security, usability, and flexibility of password management through AI-based analysis. In order to assess password strength, identify weaknesses, and make real-time improvement suggestions, the system makes use of machine learning algorithms. Features like password creation, encryption-based safe storage, and periodic security audits are all included. The AI-powered analysis module identifies trends in user behaviour to lessen threats like phishing or brute force attacks, while anomaly detection ensures the early identification of suspicious activities. The technology also teaches users how to generate and maintain passwords through intelligent feedback systems.

Keywords:
Secure Password Management, AI-Powered Security, Password Strength Analysis, Password Creation Automation, Compromised Password Detection, Password Reuse Detection, Proactive Security Measures, Human Error in Password Management, Digital Authentication, Cybersecurity Automation, Password Security Compliance.