Secure and Lightweight Compressive Sensing Using Stream Cipher

We are proposing a lightweight and secure compressive sensing (CS) method for compression of data generated by image sensors. This method simultaneously compresses and encrypts image and video files, thereby reducing communication cost, storage space, runtime, and power/energy overhead. Our proposed...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2018-03, Vol.65 (3), p.371-375
Main Authors: Pudi, Vikramkumar, Chattopadhyay, Anupam, Lam, Kwok-Yan
Format: Article
Language:English
Subjects:
Ciphers
Compressed sensing
Compressive sensing
Encryption
Image coding
Image reconstruction
security
stream cipher
Streaming media
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Summary:We are proposing a lightweight and secure compressive sensing (CS) method for compression of data generated by image sensors. This method simultaneously compresses and encrypts image and video files, thereby reducing communication cost, storage space, runtime, and power/energy overhead. Our proposed method combines the CS technique with stream cipher to implement the secure CS. Furthermore, the usage of stream cipher to generate the measurement matrix results in minimal overhead to achieve the security objective. Our experimental studies using the field-programmable gate array prototype show that the security enhancements to the circuit comes, with no timing overhead, reduces 41%-84% of memory requirements and there is only a 8%-33% increase in the LUTs depending on the compression ratio.
ISSN:1549-7747
1558-3791
DOI:10.1109/TCSII.2017.2715659