Baiting Attack Simulation and Prevention System in Cyber Security

This paper presented a Baiting Attack Simulation and Prevention System in Cyber Security that integrates suspi-cious activity monitoring, USB device detection, baiting attack simulation, and human firewall awareness mechanisms into a unified cybersecurity framework. The proposed system successfully simulated multiple bait-ing attack scenarios and generated real-time warning alerts for suspicious activities. The framework improved cybersecurity awareness, enhanced threat monitoring capability, and reduced the risk of malware infection and unauthorized access caused by social engineering attacks. Future enhancements may include artificial intelligence based threat classification, machine learning based malware prediction, cloud-based monitoring systems, and enterprise-level cybersecurity deployment.

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