AI-BASED CYBER SECURITY ALGORITHM TO PROTECT THE SECURITY

Abstract

This research paper presents a novel artificial intelligence-based cybersecurity algorithm designed to enhance security systems against evolving cyber threats. The exponential growth of digital infrastructure has created unprecedented security challenges that traditional security measures struggle to address effectively. This study proposes an adaptive security framework that integrates machine learning, deep neural networks, and behavioral analysis to detect, classify, and mitigate cyber threats in real-time. Through experimental validation on diverse datasets and comparison with conventional security approaches, the proposed algorithm demonstrates superior performance in threat detection accuracy (93.7%), false positive reduction (82% improvement), and system response time (under 50ms). The research contributes to cybersecurity literature by introducing a multilayered defense mechanism that continuously evolves with emerging threats, providing a robust foundation for developing next-generation security systems that can proactively protect critical infrastructure in increasingly complex cyber environments.