Cited by 31Sparse and Compressive Sensing TechniquesChaos-based Image/Signal EncryptionCryptographic Implementations and Security

Secure and Lightweight Compressive Sensing Using Stream Cipher

Pudi, Vikramkumar, Chattopadhyay, Anupam, Lam, Kwok-Yan·2018·IEEE Transactions on Circuits and Systems II: Express Briefs

Abstract

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.

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Crossref · 10.1109/tcsii.2017.2715659

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  • In [76], only the four most significant bits of compressed samples are encrypted, which may cause some and even all visual information of the encrypted object to be revealed.

    “Only the four most significant bits of compressed samples are encrypted, which may cause some and even all visual information of the encrypted object revealed.”

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Authors
Pudi, V., Chattopadhyay, A., & Lam, K.-Y.
Affiliations
Nanyang Technological University (SG)
Venue
IEEE Transactions on Circuits and Systems II: Express Briefs
Published
2018-03
Volume
65
Issue
3
Pages
371-375
ISSN
  • 1549-7747 (ISSN-L)
  • 1558-3791
OpenAlex
W2624976996
Cited by
31
References
0
Citations by year
2025: 1 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 5 · 2019: 8 · 2018: 6 · 2017: 2
FWCI
4.53
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Circuits & Systems II Express Briefs (publishedVersion)
Topics
  • Physical Sciences › Engineering › Computational Mechanics › Sparse and Compressive Sensing Techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
Keywords
stream ciphers, image compression, video compression, encryption, FPGA implementation, low-power electronics, memory cost reduction, hardware security

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