Demonstrates enhanced ransomware detection and response in cyber security, suggesting improved resilience.
Ransom ware attacks represent a critical challenge in modern cyber security. This paper introduces an adaptive agent-based model for mitigating ransom ware 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 cyber security resilience.
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Amarachi Blessing Nwankwo (2026) studied this question.
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