Analysis of attack algorithm and defense strategy network simulation defense

This paper provides an in-depth analysis of the attack techniques and defense strategies showcased in the 6th "Qiangwang" International Elite Challenge on Cyber Mimic Defense. The competition covered four tracks: Internet, Vehicle Network, Artificial Intelligence, and Smartphone, evaluating participants' ability to identify and defend against various cyber threats. The study reveals that Advanced Persistent Threats (APTs), zero-day vulnerability exploitation, and AI model attacks are the primary attack trends. Defense strategies include multi-factor authentication, dynamic vulnerability scanning, and AI-based anomaly detection. This research provides technical insights into current cybersecurity challenges and enhancing system resilience.