Enhancing Cybersecurity Using Artificial Intelligence: Design, Implementation, and Performance Analysis on Mobile Devices

Abstract

The rapid growth of digital technologies and online platforms has significantly increased the risk of cyber threats, making cybersecurity a critical concern for individuals and organizations. This paper presents the design and implementation of a Smart AI Cyber Security System that aims to enhance system security through intelligent threat detection, real-time monitoring, and automated alert mechanisms. The proposed system integrates modern web technologies, including HTML, CSS, and JavaScript for the frontend, Java for backend processing, and SQL for efficient data management.

The system is designed to perform device scanning, detect potential threats such as malware and phishing attempts, and maintain detailed logs of system activities. It provides a user-friendly dashboard that visualizes security status, threat statistics, and system performance. Additionally, the implementation includes features like report generation, real-time notifications, and configurable security settings, which improve usability and responsiveness.

The proposed solution focuses on building a scalable and efficient architecture that resembles real-world industry applications. By incorporating structured data handling and secure communication mechanisms, the system ensures reliability and data integrity. The results demonstrate that the developed system effectively identifies and manages security threats while providing a seamless user experience.

This research highlights the importance of integrating intelligent systems in cybersecurity and provides a foundation for future enhancements, including advanced AI-based threat prediction and cloud-based deployment.