Implementation of a Hybrid Password Generation Algorithm as Web Application

Abstract

The article addresses the problem of ensuring password reliability as a key tool for user authentication and access control in digital environments. Despite the development of biometric and multifactor authentication technologies, passwords remain the most common security mechanism due to their simplicity, universality, and cost-effectiveness. However, weak or reused passwords are the cause of the majority of account breaches, which highlights the need for efficient mechanisms of password generation and management. The paper presents a web application for automated generation of strong passwords with customizable parameters, including length, symbol composition, and optional dictionary-based word insertion to improve usability. The proposed system implements a hybrid algorithm that combines random symbol generation with dictionary elements, providing a balance between resistance to brute-force attacks and practical memorability. An additional feature is the integration of modern encryption methods (SHA-256, MD5, Base64, etc.), enabling adaptability to various security scenarios. The client-side architecture, based on HTML5, CSS, and JavaScript, ensures confidentiality and autonomy without requiring server-side processing. This development aims to enhance information security by reducing human-related risks in password creation. Future research perspectives include the use of machine learning for adaptive complexity adjustment, integration with corporate systems, and the development of mobile and cross-platform solutions