New Insights in Cybersecurity of Information Systems

Dear Colleagues,

In recent years, information systems have been widely used in various domains and have indicated excellent performance; however, there are many security vulnerabilities and risks in their real-world usage. On the one hand, from the perspective of intelligence, the degree of intelligence of information systems is rapidly increasing and its application is gradually changing from a functional level to a decision-making level. Therefore, it is necessary to explore the explainability of flows in information systems. On the other hand, from the perspective of security, as the degree of intelligence increases, information systems are facing increased vulnerabilities and risks (such as counterattacks). Therefore, it is necessary to study the cybersecurity of information systems.

This Special Issue will focus on AI and the security of information systems and covers the applications of artificial intelligence, network security, and resilience theory in information systems, which are important for the development of information systems in the future. This Special Issue will connect experts from artificial intelligence, information systems, and network security communities. We will attempt to highlight recent related works from different communities, clarify the progress of the intelligence and safety of information systems, and chart important directions for future work and cross-community collaborations. We look for new contributions, including theoretical issues and applications of the discipline. Topics of interest include all aspects of system architectures, models and algorithms for cybersecurity, and graph data mining, including, but not limited to, the following detailed list:

• Security for information systems,
• AI for cybersecurity,
• Intelligent systems,
• Human analysis and behavior understanding,
• Risk assessment,
• Vulnerability mining,
• Adversarial learning,
• Bayesian networks,
• Graph data and graph neural networks,
• Efficient model training, inference, and serving.

Dr. Yun Zhou
Dr. Zhaoyun Ding
Dr. Qianzhen Zhang
Guest Editors

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