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Cyber Security Intelligence and Analytics : The 6th International Conference on Cyber Security Intelligence and Analytics (CSIA 2024), Volume 1 / / edited by Zheng Xu, Saed Alrabaee, Octavio Loyola-González, Nurul Hidayah Ab Rahman



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Titolo: Cyber Security Intelligence and Analytics : The 6th International Conference on Cyber Security Intelligence and Analytics (CSIA 2024), Volume 1 / / edited by Zheng Xu, Saed Alrabaee, Octavio Loyola-González, Nurul Hidayah Ab Rahman Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (XIV, 608 p. 189 illus., 141 illus. in color.)
Disciplina: 006.3
Soggetto topico: Computational intelligence
Engineering - Data processing
Cooperating objects (Computer systems)
Data protection
Computational Intelligence
Data Engineering
Cyber-Physical Systems
Data and Information Security
Persona (resp. second.): XuZheng
AlrabaeeSaed
Loyola-GonzálezOctavio
Ab RahmanNurul Hidayah
Nota di contenuto: Construction of a Comprehensive Safety Guarantee System for College Students Based on Digital Twin Technology -- Data Resource Value Evaluation Algorithm based on Fuzzy Theory and Catastrophe Series Method -- Comparative Study of ARIMA Model and Long Short Term Memory Network (LSTM) in Economic Management.
Sommario/riassunto: This book delves into the latest advancements and innovations in big data analytics as applied to cyber-physical systems within smart city frameworks. Key themes include the integration of IoT, AI, and machine learning for enhanced urban management, sustainable development, and improved quality of life. The book showcases cutting-edge research, practical case studies, and expert insights, making it an invaluable resource for understanding the transformative potential of big data in creating smarter, more connected cities. Don't miss out on this authoritative guide to the future of smart city analytics.
Titolo autorizzato: Cyber security intelligence and analytics  Visualizza cluster
ISBN: 3-031-88287-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910996488003321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 1351