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  • Xu, Zhen  (2)
  • Computer Science  (2)
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  • 1
    Online Resource
    Online Resource
    Association for Computing Machinery (ACM) ; 2021
    In:  ACM Transactions on Multimedia Computing, Communications, and Applications Vol. 17, No. 1 ( 2021-02-28), p. 1-23
    In: ACM Transactions on Multimedia Computing, Communications, and Applications, Association for Computing Machinery (ACM), Vol. 17, No. 1 ( 2021-02-28), p. 1-23
    Abstract: Similar to conventional video, the increasingly popular 360  virtual reality (VR) video requires copyright protection mechanisms. The classic approach for copyright protection is the introduction of a digital watermark into the video sequence. Due to the nature of spherical panorama, traditional watermarking schemes that are dedicated to planar media cannot work efficiently for 360  VR video. In this article, we propose a spherical wavelet watermarking scheme to accommodate 360  VR video. With our scheme, the watermark is first embedded into the spherical wavelet transform domain of the 360  VR video. The spherical geometry of the 360  VR video is used as the host space for the watermark so that the proposed watermarking scheme is compatible with the multiple projection formats of 360  VR video. Second, the just noticeable difference model, suitable for head-mounted displays (HMDs), is used to control the imperceptibility of the watermark on the viewport. Third, besides detecting the watermark from the spherical projection, the proposed watermarking scheme also supports detecting watermarks robustly from the viewport projection. The watermark in the spherical domain can protect not only the 360  VR video but also its corresponding viewports. The experimental results show that the embedded watermarks are reliably extracted both from the spherical and the viewport projections of the 360  VR video, and the robustness of the proposed scheme to various copyright attacks is significantly better than that of the competing planar-domain approaches when detecting the watermark from viewport projection.
    Type of Medium: Online Resource
    ISSN: 1551-6857 , 1551-6865
    RVK:
    Language: English
    Publisher: Association for Computing Machinery (ACM)
    Publication Date: 2021
    detail.hit.zdb_id: 2182650-X
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  • 2
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2022
    In:  The Computer Journal Vol. 65, No. 12 ( 2022-12-30), p. 3062-3080
    In: The Computer Journal, Oxford University Press (OUP), Vol. 65, No. 12 ( 2022-12-30), p. 3062-3080
    Abstract: Rotational-XOR cryptanalysis is a very recent technique for ARX ciphers. In this paper, the probability propagation formula of RX-cryptanalysis in modular addition is extended, and the calculation of RX-difference probability for any rotation parameter ($0 & lt;k & lt;n$) can be realized. By proposing a concept of RX-offset and constructing the corresponding distribution table, the propagation of RX-difference in modular addition can be derived from the propagation of XOR-difference. Combined with the improvement of the automatic search tool for XOR-differential characteristics of ARX ciphers, we only need to add one more operation in each round, i.e. traverse the possible value of RX-offset and XOR it with the output XOR-difference of modular addition, thus it can achieve the search for RX-differential characteristics. With this method, the RX-differential distinguisher of ARX-C primitives without or with linear key schedule can be searched. For the applications, we have obtained the third-party RX-cryptanalysis results for Alzette and CHAM for the first time as far as we know.
    Type of Medium: Online Resource
    ISSN: 0010-4620 , 1460-2067
    RVK:
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 1477172-X
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