Cyberguard AI: Smart Cybersecurity & Real-Time Blockchain-Based Network Monitoring

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Authors: Prof. ANIL KUMAR, ANUSHREE HS JOIS, HARSHA S DESAI, THRUPTHI S, VIKAS A KALLAPUR
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Abstract

Abstract: CyberGuard AI is an intelligent and integrated cybersecurity monitoring platform developed to overcome the limitations of fragmented and reactive security solutions in modern digital networks. The primary objective of the system is to deliver continuous network monitoring, accurate threat detection, secure user authentication, and intuitive visualization within a unified framework. The platform employs AI-assisted analytics to correlate real-time network telemetry with external threat intelligence feeds, enabling early identification of malicious activities and anomalous behavior. To enhance identity security and eliminate centralized points of failure, blockchain-based authentication is integrated alongside secure session management mechanisms. Interactive dashboards and an AI-powered assistant provide real-time insights and contextual explanations, improving situational awareness and decision-making for security teams. Experimental evaluation under simulated enterprise network conditions demonstrates high detection accuracy, low latency, reliable authentication, and stable performance across varying traffic loads. The results validate the effectiveness of combining artificial intelligence, decentralized authentication, and real-time visualization into a cohesive cybersecurity solution. Key Words: Cybersecurity, Artificial Intelligence, Real-Time Network Monitoring, Threat Detection, Blockchain Authentication, Security Visualization.

Fields of Study & Subjects

Network Security and Intrusion Detection Mobile Agent-Based Network Management Information and Cyber Security

Publication details

Journal / source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Volume
10
Issue
01
Pages
1–9
Publication date
5 January 2026