Botnet Related Malware

Botnet-related malware poses a significant cybersecurity threat, driving attacks like DDoS and data theft through networks of compromised devices. Current research focuses on developing robust detection methods, primarily leveraging machine learning (including deep learning, neural networks, and random forests) and employing techniques like network flow analysis and control-flow data examination to identify malicious activity. These efforts aim to improve the accuracy and resilience of botnet detection systems against sophisticated adversarial attacks and evolving botnet tactics, ultimately enhancing overall network security and mitigating the impact of these widespread cyber threats.