MDATA Cognitive Model

Theory and Applications

Yan Jia, Zhaoquan Gu, Aiping Li , Binxing Fang

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English

Springer Nature Switzerland AG
06 March 2025

Computing: general; Business applications; Databases; Information retrieval; Artificial intelligence

Series: Lecture Notes in Computer Science

Summary
Details

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.

Edited by: Yan Jia, Zhaoquan Gu, Aiping Li, Binxing Fang
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Volume: 15470
Dimensions: Height: 235mm, Width: 155mm,
ISBN: 9789819635276
ISBN 10: 9819635276
Series: Lecture Notes in Computer Science
Pages: 231
Publication Date: 06 March 2025
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active