CyberSleuth AI: Intelligent Network Forensics Analyzer
Mr. K. V Siva Prasad Reddy, B. Mohith, P. Mahesh Babu, K. Navtej · International Journal for Research in Applied Science and Engineering Technology · 2025
Abstract: CyberSleuth represents a cutting-edge cybersecurity initiative designed to protect Canada's critical infrastructure through advanced threat detection and response capabilities. This comprehensive system combines artificial intelligence, machine learning, and human expertise to provide real-time monitoring, analysis, and protection against evolving cyber threats. By leveraging AI-driven analytics for network traffic analysis, anomaly detection, and automated threat response, CyberSleuth processes vast amounts of security data to identify potential threats while minimizing false positives. The system's architecture integrates multiple layers of security, including predictive analytics, behavioral analysis, and automated incident response mechanisms, all while maintaining a human-in-the-loop approach for critical decision-making. Through its partnership model between the Government of Canada and critical infrastructure organizations, CyberSleuth facilitates rapid threat intelligence sharing and collaborative defense strategies. This hybrid approach of combining advanced technology with human expertise and interorganizational cooperation creates a robust framework for protecting vital infrastructure against sophisticated cyber attacks. The system's success in early threat detection, incident response automation, and cross-sector collaboration demonstrates its effectiveness in strengthening national cybersecurity resilience