Artificial Intelligence in Cyberspace Security

Dear Colleagues,

AI (Artificial Intelligence) has made progress in many scientific and technological fields, such as unmanned system, pattern recognition, natural language processes, expert systems, etc.  Many researchers insist that the technological singularity may soon occur when machines may acquire intelligence similar to or exceeding that of humans. While many researchers believe that a technological singularity is an arm's length away, many argue against the same possibility due to a lack of concrete evidence. The rapid development of AI not only facilitates people's daily life and work, but also introduces new cyberspace security challenges. AI security has become a hot topic and has attracted wide attention from scholars.

Security issues keep emerging since AI technology was introduced into cyberspace. On the one hand, the explosive growth of data has made it impractical to manually manage network data security, and the threat of new and rapidly iterative network attack methods are becoming increasingly common. On the other hand, existing network attacks have gradually adapted to various existing defense technologies in terms of transmission, infection, and evasion, and are constantly iteratively emerging new variants, making them increasingly difficult to detect and predict.To ensure the security of new information technologies in scenarios such as smart lives, smart cities, smart networks, etc., and to promote and enhance the development of network security, we have organized a Special Issue topic on "Artificial Intelligence in Cyberspace Security". In this Special Issue, the new generation of network attack and defense technology, new secure cryptographic algorithms, data security and privacy protection technology, network and communication security protocols, security analyses, and the evaluation of new application scenarios are discussed. We call for papers in this Special Issue to provide a platform to discuss, exchange insights, and share experiences among researchers, industry specialists, and application developers.

Authors are invited to submit original research on both theoretical and practical aspects of security and privacy in networks. We especially welcome submissions that present implementation and deployment results. Topics of interest for submission include, but are not limited to:

• AI for cyberspace security and safety;
• AI-driven communication network security and privacy protection;
• adversarial machine learning;
• applications of AI for cyberspace security and safety;
• attack and defense methods with adversarial examples;
• big data security;
• cyber physical systems security;
• cyberspace security and safety for IoT;
• database security;
• digital forensics;
• explainable machine learning for cyberspace security and safety;
• firmware security;
• human machine intelligence for cyberspace security and safety;
• malware and botnet;
• network-intrusion detection and safety;
• operation system security;
• privacy and data protection;
• public-key techniques in MPC or other protocols;
• secure AI modeling and architecture;
• secure and resilient communication and control architecture;
• secure data provenance;
• secure data sharing, digital signature, and multi-party secure computing;
• security issues of federated learning;
• security protocols for AI;
• self-healing for cyberspace security and safety;
• social networking security and privacy;
• software security;
• trust computing;
• trust management and safety;
• vulnerability and risk assessment;
• Web security

Dr. Yuanzhang Li
Prof. Dr. Yu-an Tan
Dr. Chen Liang
Dr. Hongfei Zhu
Guest Editors

Manuscript Submission Information

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