AI-Driven Password Security Management: Integrating Object-Oriented Programming for Improved Protection
Year: 2024
Type: article
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.
Institution: Adamson University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4405808041