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August 2017
Robin Fay
Modes of Operation for Compressed Sensing based Encryption
Compressed Sensing offers the possibility to jointly compress and encrypt sparse or compressible signals during the sampling process, i.e. directly at the sensor level. For the purpose of encryption, only the sampling matrix, which is also needed for the signal recovery, must be kept secret. However, this type of encryption scheme is no longer secure if multiple signals are encrypted, since the same plaintext will always yield the same ciphertext. This thesis proposes modes of operations for Compressed Sensing that allow the secure encryption of multiple signals.
Keywords: Kryptologie; Compressed Sensing; Kryptosystem; Betriebsarten
Forschungsberichte des Instituts für Digitale Kommunikationssysteme
Edited by Prof. Dr. Christoph Ruland, Siegen
Volume 34
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