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A review of compressive sensing in information security field

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Version 2 2024-06-04, 14:25
Version 1 2018-02-12, 15:58
journal contribution
posted on 2024-06-04, 14:25 authored by Y Zhang, Leo ZhangLeo Zhang, J Zhou, L Liu, F Chen, X He
The applications of compressive sensing (CS) in the fi eld of information security have captured a great deal of researchers' attention in the past decade. To supply guidance for researchers from a comprehensive perspective, this paper, for the fi rst time, reviews CS in information security field from two aspects: theoretical security and application security. Moreover, the CS applied in image cipher is one of the most widespread applications, as its characteristics of dimensional reduction and random projection can be utilized and integrated into image cryptosystems, which can achieve simultaneous compression and encryption of an image or multiple images. With respect to this application, the basic framework designs and the corresponding analyses are investigated. Speci fically, the investigation proceeds from three aspects, namely, image ciphers based on chaos and CS, image ciphers based on optics and CS, and image ciphers based on chaos, optics, and CS. A total of six frameworks are put forward. Meanwhile, their analyses in terms of security, advantages, disadvantages, and so on are presented. At last, we attempt to indicate some other possible application research topics in future.

History

Journal

IEEE access

Volume

4

Pagination

2507-2519

Location

Piscataway, N.J.

Open access

  • Yes

ISSN

2169-3536

Language

English

Publication classification

C Journal article, C1.1 Refereed article in a scholarly journal

Copyright notice

2016, IEEE

Publisher

Institute of Electrical and Electronics Engineers