Cyberspace security has become popular in recent years due to the serious consequences of cyber-attacks. The effectiveness of traditional tools and methods have been greatly reduced since many cutting-edge technologies are used in advanced attacks to evade traditional defense technologies.

Artificial Intelligence (AI) has been adopted in various applications. It has been very successful in many subject areas such as image recognition, natural language processing, speech recognition, etc. AI is also used to detect suspicious network traffic, analyze malicious attacks, identify attack sources, etc. Considering adversarial activities in the real world, AI also faces many new challenges in cyberspace security, such as novel attacks that could evade AI-based detection due to the vulnerability of AI.

The aim of this Special Issue is to bring together original research and review articles that address the newly emerged security theories and technologies in cyberspace security. Submissions can also include AI technologies for detecting and defending against cyber-attacks. Both theoretical and experimental studies are encouraged.

Potential topics include but are not limited to the following:

• AI-based methods for cyberspace security
• AI-based methods for cyber attacks
• AI-based detection/defense for cyber attacks
• AI for protecting data in cyberspace security
• AI for system security in cyberspace
• AI for mobile security
• Adversarial attack and defense in cyberspace
• Adversarial machine learning in cyberspace
• Novel ideas, algorithms, models, frameworks, systems for understanding and improving cyberspace security
• Research challenges in AI for cyberspace security