ADAPTIVE AGENT-BASED MODEL FOR MITIGATING RANSOMWARE THREATS IN CYBERSECURITY
By Peter Emmanuel Akinlolu
Research Article
ADAPTIVE AGENT-BASED MODEL FOR MITIGATING RANSOMWARE THREATS IN CYBERSECURITY
ISSN: 3067-266X
DOI Prefix: 10.5281/zenodo.
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.