University of Agricultural and Horticultural Sciences

Enhancing botnet attack detection using a hybrid deep learning model combining network flow and DNS query features with explainable AI for cybersecurity

Abstract The growing dependency on the Internet and the expanding demand for connectivity have led to an increasing threat of botnet-based cyberattacks. Botnets are networks of infected devices managed by a botmaster. The botnets can launch distributed denial of service (DDoS) at...