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48,80 €ISBN 978-3-8440-5724-9Softcover166 pages31 figures226 g21 x 14,8 cmEnglishThesis
January 2018
Romeo Ayemele Djeujo
Key Management for Compressive Sensing based Cryptographic Mechanisms
Over the past few decades, the way information are acquired and processed has witnessed an unprecedented change and have become significantly more efficient. In 2004, Compressive Sensing (CS) was introduced as a groundbreaking theory for signal acquisition and processing. CS integrates data sampling, compression, dimensionality reduction, optimization, and enables low complexity data encryption and authentication. In CS-based cryptographic mechanisms, the measurement matrix is treated as a secret key and used for encryption, authenticated encryption, message authentication code generation and hashing. The adequate management of these secret CS matrices is essential to the effective use of CS-based cryptography for security. Despite the effectiveness of CS-based cryptographic mechanisms, there are currently no key management systems suitable for these mechanisms, which meet all CS and security related requirements. The aim of this thesis is to design and develop a key management system for secret CS matrices, that is required in cryptographic mechanisms based on CS.
Keywords: Cryptography; Compressed Sensing; IT-Security; Key Management
Forschungsberichte des Instituts für Digitale Kommunikationssysteme
Edited by Prof. Dr. Christoph Ruland, Siegen
Volume 37
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