International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI-Driven Password Security Management: Integrating Object-Oriented Programming for Improved Protection

Author(s) Maria Arminda Pia R. Agasang, Glenn F. Villegas, Bernard Vic N. Caay, Carmelita H. Benito, Jesus S. Paguigan
Country Philippines
Abstract Password security has evolved over the years, from simple password storage mechanisms to more complex multi-factor authentication systems. However, despite these advancements, password-related breaches remain a significant concern. Studies show that poor password management is a leading cause of security failures.

Object-Oriented Programming (OOP) has long been a preferred approach for developing large, maintainable software applications. OOP principles such as inheritance, polymorphism, encapsulation, and abstraction allow developers to build modular systems that are easier to extend, maintain, and debug. OOP’s potential in password management systems lies in the ability to create secure, extensible frameworks that can integrate AI components smoothly.

Artificial Intelligence (AI), specifically machine learning and behavior analysis, has been successfully applied in the realm of cybersecurity. AI can help identify patterns in user behavior, flag unusual login attempts, and even generate stronger passwords using predictive models. AI-driven password management systems can dynamically adapt to emerging threats by learning from past interactions and constantly improving their security protocols.
Keywords Artificial Intelligence (AI), Password Security, Object-Oriented Programming (OOP), Cybersecurity, Anomaly Detection, Encryption, Machine Learning, Adaptive Security
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-12-24
DOI https://doi.org/10.36948/ijfmr.2024.v06i06.33684
Short DOI https://doi.org/g8w2w9
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E-ISSN 2582-2160
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