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Cybersecurity : A New Approach Using Chaotic Systems / / edited by Ahmed A. Abd El-Latif, Christos Volos



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Titolo: Cybersecurity : A New Approach Using Chaotic Systems / / edited by Ahmed A. Abd El-Latif, Christos Volos Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (244 pages)
Disciplina: 005.8
Soggetto topico: Engineering - Data processing
Automatic control
Dynamics
Nonlinear theories
Cooperating objects (Computer systems)
Big data
Computational intelligence
Data Engineering
Control and Systems Theory
Applied Dynamical Systems
Cyber-Physical Systems
Big Data
Computational Intelligence
Persona (resp. second.): VolosChristos
Abd El-LatifAhmed A.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: A novel approach for robust S-box construction using a 5-D chaotic map and its application to image cryptosystem -- An image compression-encryption algorithm based on compressed sensing and chaotic oscillator -- Backstepping and sliding mode control of a fractional-order chaotic system -- Quantum oscillations: A promising field for secure communication -- Synchronization of chaotic electroencephalography (EEG) signals -- Secure Communication Scheme Based on Hyperchaotic Systems.
Sommario/riassunto: This book presents techniques and security challenges of chaotic systems and their use in cybersecurity. It presents the state-of-the-art and the latest discoveries in the field of chaotic systems and methods and proposes new models, practical solutions, and technological advances related to new chaotic dynamical systems. The book can be used as part of the bibliography of the following courses: - Cybersecurity - Cryptography - Networks and Communications Security - Nonlinear Circuits - Nonlinear Systems and Applications.
Titolo autorizzato: Cybersecurity  Visualizza cluster
ISBN: 3-030-92166-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910556891203321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Studies in Big Data, . 2197-6511 ; ; 102