Knowledge Engineering and Management for Cyber Security

Dear Colleagues,

In an era of rapidly evolving cyber threats, the integration of knowledge engineering and management techniques into cyber security practices is more critical than ever.

Traditional cyber security solutions are often reactive, lacking the semantic understanding and adaptive capabilities needed to address sophisticated attacks. Knowledge engineering offers formal and computational tools, such as ontologies and knowledge graphs, to enhance the expressiveness, interoperability, and automation of security frameworks. Meanwhile, knowledge management provides the processes and strategies required to organize, share, and evolve this knowledge across systems, organizations, and stakeholders.

This Special Issue aims to explore the intersection between these fields, with a focus on innovative methods for modeling, representing, reasoning, and managing security-related knowledge in complex and dynamic environments.

We invite original research articles, case studies, and survey papers that demonstrate how the principles of knowledge engineering and knowledge management can be applied to improve cyber threat detection, risk and vulnerability assessment, access control, incident response, and cyber defense strategies. Contributions that combine AI techniques (e.g., machine learning and NLP) with formal knowledge models to support intelligent, explainable, and proactive cyber security solutions are also welcome.

This Special Issue seeks to provide a comprehensive view of current advances and future directions in this emerging interdisciplinary area, encouraging contributions from both academia and industry. The ultimate goal is to promote a more intelligent, adaptive, and resilient approach to cyber security, grounded in rich and dynamic knowledge representations.

Dr. Daniele Francesco Santamaria
Guest Editor

Dr. Ítalo Oliveira
Guest Editor Assistant

Manuscript Submission Information

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