Mitigating Data Exfiltration Ransomware through Advanced Decoy File Strategies

Abstract

This study introduces an advanced decoy file strategy utilizing Generative Adversarial Networks (GANs) to combat data exfiltration ransomware threats. Focused on creating highly realistic decoy documents, the system embeds these across enterprise networks, engaging ransomware threats effectively. It includes real-time monitoring for abnormal interactions and proactive response mechanisms for threat containment. Rigorous testing against various ransomware samples demonstrated high engagement rates and rapid response times, confirming the system's effectiveness. Integration across diverse network types was achieved with minimal operational overhead. This study highlights the system's adaptability in the face of evolving ransomware tactics and underscores the balance between decoy realism and deployability.

Double-sided Information Asymmetry in Double Extortion Ransomware

“…These results align with preventive measures suggested by others [18,19,21,24,28]. Lee et al [18] proposes a strategy to hide files from attackers.…”