Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2018
Genre:	Naturwissensch., Medizin, Technik
	C / Coding theory & cryptology / Computer security / Cryptology / Data and Information Security / Data encryption / Data encryption (Computer science) / Digital and Analog Signal Processing / engineering / Image processing / Kodierungstheorie und Verschlüsselung (Kryptologie) / Kryptografie, Verschlüsselungstechnologie / Network Security / Netzwerksicherheit / Signal Processing / Signal, Image and Speech Processing / Speech processing systems / Systems and Data Security mehr...
ISBN:	9789811325229
EAN-Code:	9789811325229
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	SpringerBriefs in Electrical and Computer Engineering SpringerBriefs in Signal Processing
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	209 gr
Seiten:	115
Illustration:	XII, 115 p. 45 illus., 29 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research and development of secure CS. It discusses how CS becomes a cryptosystem, followed by the corresponding designs and analyses. The application of CS in multimedia data encryption is presented, in which the general design framework is given together with several particular frameworks including parallel CS, involvement of image processing techniques, and double protection mechanism. It also describes the applications of CS in cloud computing security and IoT security, i.e., privacy-preserving reconstruction in cloud computing and secure low-cost sampling in IoT, respectively.