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MDATA cognitive model = theory and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	MDATA cognitive model/ edited by Yan Jia ... [et al.].
其他題名:	theory and applications /
其他作者:	Jia, Yan.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xi, 231 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Knowledge representation (Information theory) -
電子資源:	https://doi.org/10.1007/978-981-96-3528-3
ISBN:	9789819635283

MDATA cognitive model = theory and applications /
MDATA cognitive modeltheory and applications /[electronic resource] :edited by Yan Jia ... [et al.]. - Singapore :Springer Nature Singapore :2025. - xi, 231 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,154701611-3349 ;. - Lecture notes in computer science ;6140..

Overview of Cognitive Models -- Knowledge Representation and Management in the MDATA Cognitive Model -- Knowledge Acquisition in the MDATA Cognitive Model -- Knowledge Utilization in the MDATA Cognitive Model -- Application of the MDATA Cognitive Model in Network Attack Analysis -- Application of the MDATA Cognitive Model in Open-source Intelligence Analysis -- Application of the MDATA Cognitive Model in Public Sentiment Analysis -- Application of the MDATA Cognitive Model in Cyberspace Security Evaluation.

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.

ISBN: 9789819635283

Standard No.: 10.1007/978-981-96-3528-3doiSubjects--Topical Terms:

567038
Knowledge representation (Information theory)

LC Class. No.: Q387

Dewey Class. No.: 006.332

MDATA cognitive model = theory and applications /
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520 $a 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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