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Revisiting Compressive Sensing based Encryption Schemes for IoT

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Revisiting Compressive Sensing based Encryption Schemes for IoT. / Kuldeep, Gajraj; Zhang, Qi.
2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings. IEEE, 2020. 9120785.

Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review

Harvard

Kuldeep, G & Zhang, Q 2020, Revisiting Compressive Sensing based Encryption Schemes for IoT. i 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings., 9120785, IEEE, IEEE Wireless Communications and Networking Conference 2020, 25/05/2020. https://doi.org/10.1109/WCNC45663.2020.9120785

APA

Kuldeep, G., & Zhang, Q. (2020). Revisiting Compressive Sensing based Encryption Schemes for IoT. I 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings [9120785] IEEE. https://doi.org/10.1109/WCNC45663.2020.9120785

CBE

Kuldeep G, Zhang Q. 2020. Revisiting Compressive Sensing based Encryption Schemes for IoT. I 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings. IEEE. Article 9120785. https://doi.org/10.1109/WCNC45663.2020.9120785

MLA

Kuldeep, Gajraj og Qi Zhang "Revisiting Compressive Sensing based Encryption Schemes for IoT". 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings. IEEE. 2020. https://doi.org/10.1109/WCNC45663.2020.9120785

Vancouver

Kuldeep G, Zhang Q. Revisiting Compressive Sensing based Encryption Schemes for IoT. I 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings. IEEE. 2020. 9120785 doi: 10.1109/WCNC45663.2020.9120785

Author

Kuldeep, Gajraj ; Zhang, Qi. / Revisiting Compressive Sensing based Encryption Schemes for IoT. 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings. IEEE, 2020.

Bibtex

@inproceedings{d926b6b2b7bc4b74aaae40071555d459,
title = "Revisiting Compressive Sensing based Encryption Schemes for IoT",
abstract = "Compressive sensing (CS) is regarded as one of the promising solutions for IoT data encryption as it achieves simultaneous sampling, compression, and encryption. Theoretical work in the literature has proved that CS provides computational secrecy. It also provides asymptotic perfect secrecy for Gaussian sensing matrix with constraints on input signal. In this paper, we design an attack decoding algorithm based on block compressed sensing decoding algorithm to perform ciphertext-only attack on real-life time series IoT data. It shows that it is possible to retrieve vital information in the plaintext under some conditions. Furthermore, it is also applied to a State-of-the Art CS-based encryption scheme for smart grid, and the power profile is reconstructed using ciphertext-only attack. Additionally, the statistical analysis of Gaussian and Binomial measurements is conducted to investigate the randomness provided by them.",
keywords = "IoT, compressed sensing, computational secrecy, encryption, time series data",
author = "Gajraj Kuldeep and Qi Zhang",
year = "2020",
doi = "10.1109/WCNC45663.2020.9120785",
language = "English",
booktitle = "2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings",
publisher = "IEEE",
note = "IEEE Wireless Communications and Networking Conference 2020 ; Conference date: 25-05-2020 Through 28-05-2020",
url = "https://wcnc2020.ieee-wcnc.org/",

}

RIS

TY - GEN

T1 - Revisiting Compressive Sensing based Encryption Schemes for IoT

AU - Kuldeep, Gajraj

AU - Zhang, Qi

PY - 2020

Y1 - 2020

N2 - Compressive sensing (CS) is regarded as one of the promising solutions for IoT data encryption as it achieves simultaneous sampling, compression, and encryption. Theoretical work in the literature has proved that CS provides computational secrecy. It also provides asymptotic perfect secrecy for Gaussian sensing matrix with constraints on input signal. In this paper, we design an attack decoding algorithm based on block compressed sensing decoding algorithm to perform ciphertext-only attack on real-life time series IoT data. It shows that it is possible to retrieve vital information in the plaintext under some conditions. Furthermore, it is also applied to a State-of-the Art CS-based encryption scheme for smart grid, and the power profile is reconstructed using ciphertext-only attack. Additionally, the statistical analysis of Gaussian and Binomial measurements is conducted to investigate the randomness provided by them.

AB - Compressive sensing (CS) is regarded as one of the promising solutions for IoT data encryption as it achieves simultaneous sampling, compression, and encryption. Theoretical work in the literature has proved that CS provides computational secrecy. It also provides asymptotic perfect secrecy for Gaussian sensing matrix with constraints on input signal. In this paper, we design an attack decoding algorithm based on block compressed sensing decoding algorithm to perform ciphertext-only attack on real-life time series IoT data. It shows that it is possible to retrieve vital information in the plaintext under some conditions. Furthermore, it is also applied to a State-of-the Art CS-based encryption scheme for smart grid, and the power profile is reconstructed using ciphertext-only attack. Additionally, the statistical analysis of Gaussian and Binomial measurements is conducted to investigate the randomness provided by them.

KW - IoT

KW - compressed sensing

KW - computational secrecy

KW - encryption

KW - time series data

UR - http://www.scopus.com/inward/record.url?scp=85087276598&partnerID=8YFLogxK

U2 - 10.1109/WCNC45663.2020.9120785

DO - 10.1109/WCNC45663.2020.9120785

M3 - Article in proceedings

BT - 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings

PB - IEEE

T2 - IEEE Wireless Communications and Networking Conference 2020

Y2 - 25 May 2020 through 28 May 2020

ER -