Cybersecurity: A New Approach Using Chaotic Systems: 102 (Studies in Big Data) - Softcover

 
9783030921682: Cybersecurity: A New Approach Using Chaotic Systems: 102 (Studies in Big Data)
Softcover
ISBN 10: 3030921689 ISBN 13: 9783030921682
Verlag: Springer, 2023

Inhaltsangabe

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



Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Springer
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
3030921689
ISBN 13 
9783030921682
Einband
Tapa blanda
Auflage
1
Anzahl der Seiten
252
Herausgeber
Abd El-Latif Ahmed A., Volos Christos
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Deutschland

Weitere beliebte Ausgaben desselben Titels

9783030921651: Cybersecurity: A New Approach Using Chaotic Systems: 102 (Studies in Big Data)

Vorgestellte Ausgabe

ISBN 10:  3030921654 ISBN 13:  9783030921651
Verlag: Springer, 2022
Hardcover