Security Analysis and Implementation of a Multilevel AI-Based Authentication System for Enhanced and Faster Security on Mobile, Web-Based, and Other Devices
Year: 2024
Type: article
Abstract: In today's fast-paced digital era, security across mobile, webbased, and connected devices is a critical concern.Traditional authentication methods, while still in use, have become increasingly susceptible to sophisticated cyber threats.The growing demand for faster, more secure authentication calls for advanced solutions that can keep pace with evolving security challenges.This paper proposes an innovative multilevel security system that integrates Artificial Intelligence (AI) to deliver dynamic, real-time authentication across various platforms.By leveraging AI, biometric data, behavioral patterns, and contextual information, the system enhances security while maintaining seamless user experience.The proposed AI-driven system fortifies security and optimizes speed and user convenience, providing a comprehensive analysis of system performance, implementation, and future potential.This research represents a critical milestone in the evolution of mobile, web-based, and IoT security solutions, offering transformative implications for the broader field of cybersecurity.
Author: Surabhi Anand
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403786181