The Experts below are selected from a list of 36546 Experts worldwide ranked by ideXlab platform

Sheng-he Sun - One of the best experts on this subject based on the ideXlab platform.

  • KES (4) - A robust and invisible watermarking of 3d triangle meshes
    Lecture Notes in Computer Science, 2005
    Co-Authors: Wang Liu, Sheng-he Sun
    Abstract:

    With the rapid development of computer multimedia, how to protect digital products from being copied, pirated and juggled has been an urgent issue in the Information Security Field. Digital watermarking is a new method to solve the referred problems. This paper proposes a digital watermarking algorithm for three-dimension (3D) mesh models. The watermark is embedded into the host with modifying the lengths between the vertices and the centroid of models. The embedded watermark is invisible and can withstand the common attacks such as polygon mesh simplifications, addition of random noise, and similarity transforms. The validity of proposed algorithm has been confirmed with experiments.

  • A robust and invisible watermarking of 3D triangle meshes
    Lecture Notes in Computer Science, 2005
    Co-Authors: Wang Liu, Sheng-he Sun
    Abstract:

    With the rapid development of computer multimedia, how to protect digital products from being copied, pirated and juggled has been an urgent issue in the Information Security Field. Digital watermarking is a new method to solve the referred problems. This paper proposes a digital watermarking algorithm for three-dimension (3D) mesh models. The watermark is embedded into the host with modifying the lengths between the vertices and the centroid of models. The embedded watermark is invisible and can withstand the common attacks such as polygon mesh simplifications, addition of random noise, and similarity transforms. The validity of proposed algorithm has been confirmed with experiments.

Yushu Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Compressive Sensing
    Secure Compressive Sensing in Multimedia Data Cloud Computing and IoT, 2019
    Co-Authors: Yushu Zhang, Y Xiang, Leo Yu Zhang
    Abstract:

    Since compressive sensing (CS) theory has come into the world, it has been widely applied in many Fields. It was claimed that both sampling and compression can be performed simultaneously to reduce the sampling rate at the expense of a high computation complexity at the reconstruction stage. By virtue of the sparsity, a signal, which is randomly projected at the encoder side, can be reconstructed by searching the optimal solution of an under determined linear system at the decoder side. In Information Security Field, the CS can be utilized for multimedia data Security, cloud computing Security, internet of things (IoT) Security, etc.

  • A Review of Compressive Sensing in Information Security Field
    IEEE Access, 2016
    Co-Authors: Yushu Zhang, Leo Yu Zhang, Jiantao Zhou, Licheng Liu, Fei Chen
    Abstract:

    The applications of compressive sensing (CS) in the Field 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 first 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. Specifically, 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.

Fei Chen - One of the best experts on this subject based on the ideXlab platform.

  • A Review of Compressive Sensing in Information Security Field
    IEEE Access, 2016
    Co-Authors: Yushu Zhang, Leo Yu Zhang, Jiantao Zhou, Licheng Liu, Fei Chen
    Abstract:

    The applications of compressive sensing (CS) in the Field 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 first 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. Specifically, 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.

Vince Bruno - One of the best experts on this subject based on the ideXlab platform.

  • Applications of social network analysis in behavioural Information Security research
    Computers & Security, 2017
    Co-Authors: Duy Dang-pham, Siddhi Pittayachawan, Vince Bruno
    Abstract:

    The rapid digital transformation and technological disruption in modern organisations demand the development of people-centric Security workplaces, whereby the employees can build up their Security awareness and accountability for their actions via participation in the organisation's social networks. The social network analysis approach offers a wide array of analytical capabilities to examine in-depth the interactions and relations within an organisation, which assists the development of such Security workplaces. This paper proposes the novel and practical adoption of social network analysis methods in behavioural Information Security Field. To this end, we discuss the core features of the social network analysis approach and describe their empirical applications in a real case study of a large organisation in Vietnam, which utilised these methods to improve employees' Information Security awareness. Towards the end of the paper, a framework detailing the strategies for conducting social network analysis in the behavioural Information Security Field is developed and presented.

Leo Yu Zhang - One of the best experts on this subject based on the ideXlab platform.

  • Compressive Sensing
    Secure Compressive Sensing in Multimedia Data Cloud Computing and IoT, 2019
    Co-Authors: Yushu Zhang, Y Xiang, Leo Yu Zhang
    Abstract:

    Since compressive sensing (CS) theory has come into the world, it has been widely applied in many Fields. It was claimed that both sampling and compression can be performed simultaneously to reduce the sampling rate at the expense of a high computation complexity at the reconstruction stage. By virtue of the sparsity, a signal, which is randomly projected at the encoder side, can be reconstructed by searching the optimal solution of an under determined linear system at the decoder side. In Information Security Field, the CS can be utilized for multimedia data Security, cloud computing Security, internet of things (IoT) Security, etc.

  • A Review of Compressive Sensing in Information Security Field
    IEEE Access, 2016
    Co-Authors: Yushu Zhang, Leo Yu Zhang, Jiantao Zhou, Licheng Liu, Fei Chen
    Abstract:

    The applications of compressive sensing (CS) in the Field 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 first 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. Specifically, 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.