Overview
- Provides theoretical foundations of the MDATA cognitive model and its applications in the field of cybersecurity
- Focuses on three critical components: Knowledge representation, Knowledge acquisition, and Knowledge utilization
- Provides detailed case studies to demonstrate the application of MDATA model to resolve various cybersecurity threats
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 15470)
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About this book
This book presents the theoretical foundations of the MDATA cognitive model and its applications in the field of cybersecurity. The MDATA model is an innovative analytical tool designed to simulate and improve cognitive processes. It bridges cognitive science and cybersecurity, making it essential for professionals and researchers in these fields.
The core content explores three critical technologies within the MDATA model: knowledge representation, knowledge acquisition, and knowledge application. Each section provides in-depth technical analysis and practical applications, enabling readers to grasp the structural and operational principles of the model. With clear implementation strategies, the book equips readers to apply the MDATA model in real-world scenarios.
Through detailed case studies, the book demonstrates how the MDATA model enhances the identification and resolution of cybersecurity threats. Applications include network attack analysis, open-source intelligence, public sentiment monitoring, and cybersecurity assessments. Readers will gain a powerful tool for navigating complex cybersecurity incidents, making this book an indispensable resource for cybersecurity professionals, AI researchers, and data analysts. A foundational understanding of cybersecurity and cognitive science is recommended.
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Table of contents (8 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
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Bibliographic Information
Book Title: MDATA Cognitive Model: Theory and Applications
Editors: Yan Jia, Zhaoquan Gu, Aiping Li, Binxing Fang
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-981-96-3528-3
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025
Softcover ISBN: 978-981-96-3527-6Published: 06 March 2025
eBook ISBN: 978-981-96-3528-3Published: 05 March 2025
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 231
Number of Illustrations: 55 b/w illustrations, 61 illustrations in colour
Topics: Information Systems and Communication Service, Artificial Intelligence, Computer Applications, Information Storage and Retrieval