Beschreibung
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.
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