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.