A Survey on Dynamic Ransomware Simulation and Detection System for Endpoint Security
Devi priya
Ransomware attacks have become one of the most serious threats to endpoint devices such as personal computers and laptops. These attacks encrypt important user files and demand a ransom for recovery, causing financial loss and data unavailability. Traditional antivirus solutions mainly rely on signature-based detection, which often fails to identify new or unknown ransomware variants. To overcome this limitation, this project proposes a Dynamic Ransomware Simulation and Detection System for Endpoint Security that monitors real-time system behavior such as file access, file modifications, and suspicious process activities. A controlled ransomware simulation is used to analyze attack patterns safely and improve detection accuracy. When malicious behavior is detected,the system generates alerts and can take preventive actions to minimize file damage, thereby enhancing endpoint security against modern ransomware attacks.