Adopting Agent-Based Approach in Curbing Ransomware Attacks in this Modern Society
Abstract
Ransomware attacks represent a critical challenge in modern cybersecurity. This paper introduces an adaptive agent-based model for mitigating ransomware threats. The proposed approach integrates artificial intelligence, real-time monitoring, and dynamic response systems. The results demonstrate significant improvements in detection rates and response times, emphasizing the model's practical implications for strengthening cybersecurity resilience.
Keywords
RansomwareAgent-Based ModelAgentsAdaptationResilience
References
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