Symmetric and asymmetric hybrid cryptosystem based on compressive sensing and computer generated holography

被引:15
|
作者
Ma, Lihong [1 ]
Jin, Weimin [1 ]
机构
[1] Zhejiang Normal Univ, Inst Informat Opt, Jinhua 321004, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Optical image encryption; Symmetric and asymmetric cryptosystem; Compressive sensing; Computer generated holography; TRUNCATED FOURIER-TRANSFORMS; EQUAL MODULUS DECOMPOSITION; RANDOM-PHASE ENCRYPTION; OPTICAL ENCRYPTION; DIGITAL HOLOGRAPHY; PLAINTEXT ATTACK; INFORMATION ENCRYPTION; IMAGE COMPRESSION; ONLY ATTACK; INTERFERENCE;
D O I
10.1016/j.optcom.2017.08.047
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A novel symmetric and asymmetric hybrid optical cryptosystem is proposed based on compressive sensing combined with computer generated holography. In this method there are six encryption keys, among which two decryption phase masks are different from the two random phase masks used in the encryption process. Therefore, the encryption system has the feature of both symmetric and asymmetric cryptography. On the other hand, because computer generated holography can flexibly digitalize the encrypted information and compressive sensing can significantly reduce data volume, what is more, the final encryption image is real function by phase truncation, the method favors the storage and transmission of the encryption data. The experimental results demonstrate that the proposed encryption scheme boosts the security and has high robustness against noise and occlusion attacks. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:51 / 56
页数:6
相关论文
共 50 条
  • [31] A Hybrid Encryption Scheme for Hadoop Based on Symmetric and Asymmetric Encryption
    Song, Lei
    Qin, Jun
    Liang, Shengxi
    Wang, Xing
    ADVANCED MATERIALS, MECHANICS AND INDUSTRIAL ENGINEERING, 2014, 598 : 691 - 694
  • [32] A Compression-Encryption Hybrid Algorithm Based on Compressive Sensing
    Yu, Changzhi
    Li, Hengjian
    Dong, Jiwen
    PROCEEDINGS OF 2018 6TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (ICBCB 2018), 2018, : 114 - 120
  • [33] Neural-network-based methods in digital and computer-generated holography: a review
    Cheremkhin, Pavel A.
    Rymov, Dmitry A.
    Svistunov, Andrey S.
    Zlokazov, Evgenii Yu.
    Starikov, Rostislav S.
    JOURNAL OF OPTICAL TECHNOLOGY, 2024, 91 (03) : 170 - 180
  • [34] Investigation of measurement uncertainty of aspheric surface based on null-computer-generated holography
    Wang X.
    Gao Z.
    Ma J.
    Shen H.
    Ma Y.
    Guangxue Xuebao/Acta Optica Sinica, 2011, 31 (01):
  • [35] Image encryption scheme based on computer generated holography and time-averaged moire
    Palevicius, Paulius
    Ragulskis, Minvydas
    Janusas, Giedrius
    Palevicius, Arvydas
    THIRD INTERNATIONAL CONFERENCE ON APPLICATIONS OF OPTICS AND PHOTONICS, 2017, 10453
  • [36] Review of fast methods for point-based computer-generated holography [Invited]
    P.W.M.TSANG
    T.-C.POON
    Y.M.WU
    Photonics Research, 2018, 6 (09) : 837 - 846
  • [37] Review of fast methods for point-based computer-generated holography [Invited]
    PWMTSANG
    TCPOON
    YMWU
    Photonics Research, 2018, (09) : 837 - 846
  • [38] Fast texture mapping for analytical polygon-based computer-generated holography
    Qin, Wenlong
    Zhang, Yaping
    Zhang, Bing
    Fu, Qingyang
    Poon, Ting-Chung
    HOLOGRAPHY, DIFFRACTIVE OPTICS, AND APPLICATIONS XII, 2022, 12318
  • [39] High Quality Bessel Beam Array Generation Method Based on Computer Generated Holography
    Zhang Ruidi
    Duan Yaxuan
    Da Zhengshang
    ACTA PHOTONICA SINICA, 2023, 52 (09)
  • [40] Efficient Computer-Generated Holography Based on Mixed Linear Convolutional Neural Networks
    Xu, Xianfeng
    Wang, Xinwei
    Luo, Weilong
    Wang, Hao
    Sun, Yuting
    APPLIED SCIENCES-BASEL, 2022, 12 (09):