48-digit-binary-password authentication in high security sectors with Deep Feed Forward Neural Networks (DFFNNs)
Year: 2025
Type: article
Abstract: Information theft is a growing concern across various segments of society as technology evolves, which impacts private and public companies alike, homeowners and defense systems. As for the latter, implement strong passwords is an essential part of safeguarding access to highly sensitive data. To reinforce the authenticity of users and ensure safekeeping, a common method to authenticate users is to increase password length and complexity. Some elaborate passwords are crucial at ensuring trustworthiness and are less prone to hacking seeking unsolicited access. However, particularly long passwords are challenging to remember and this can be very problematic in a great deal of practical situations. This article aims to provide an easy method developed to remember and validate intricate passwords, constituted solely of binary digits, by means of an Artificial Intelligence Model.
Source: Caderno Pedagógico
Authors: Luiz Leroy Thomé Vaughan, Feliciano José Ricardo Cangue, Erik dos Santos Silva, José Aécio Gomes de Sousa
Institution: Universidade Tecnológica Federal do Paraná
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407100061