The Experts below are selected from a list of 669 Experts worldwide ranked by ideXlab platform

Boa-shun Wang - One of the best experts on this subject based on the ideXlab platform.

  • ISPA - 2D Chaos-Based Visual Encryption Mechanism in EEG Signals
    International Symposium on Parallel and Distributed Processing with Applications, 2010
    Co-Authors: Boa-shun Wang
    Abstract:

    In this paper, we have developed a two-dimensional (2D) chaos-based Encryption scheme that can be applied to electroencephalography (EEG) signals, and mobile telemedicine. Compared with the one-dimensional (1D) chaos-based Encryption scheme, the proposed 2D schemes uses the concept of parallel processing is to increase the Encryption speed. An essential feature of the proposed scheme is that signals mapping of a 2D chaotic scrambler and a permutation scheme are used to obtain EEG information that requires higher-Level Encryption. Simulation results show that when correct deciphering parameters are inputted, EEG signals are completely recovered. However, these signals will not be recovered if there is an error in the input parameters, for example, an initial point error of 0.00000001%.

  • 2D Chaos-Based Visual Encryption Mechanism in EEG Signals
    International Symposium on Parallel and Distributed Processing with Applications, 2010
    Co-Authors: Boa-shun Wang
    Abstract:

    In this paper, we have developed a two-dimensional (2D) chaos-based Encryption scheme that can be applied to electroencephalography (EEG) signals, and mobile telemedicine. Compared with the one-dimensional (1D) chaos-based Encryption scheme, the proposed 2D schemes uses the concept of parallel processing is to increase the Encryption speed. An essential feature of the proposed scheme is that signals mapping of a 2D chaotic scrambler and a permutation scheme are used to obtain EEG information that requires higher-Level Encryption. Simulation results show that when correct deciphering parameters are inputted, EEG signals are completely recovered. However, these signals will not be recovered if there is an error in the input parameters, for example, an initial point error of 0.00000001%.

Wenguang He - One of the best experts on this subject based on the ideXlab platform.

  • A New High Capacity Separable Reversible Data Hiding in Encrypted Images Based on Block Selection and Block-Level Encryption
    IEEE Access, 2019
    Co-Authors: Yaomin Wang, Wenguang He
    Abstract:

    Reversible data hiding in encrypted image (RDHEI) is a technology that can simultaneously implement privacy protection and reversible information hiding. For RDHEI, the main problem is the conflict between embedding capacity and real reversibility. In this paper, to solve such a conflict, a new block-Level image Encryption method is proposed to fulfill privacy protection while preserving the spatial correlation of pixels inside pixel block. On this basis, a new reversible data hiding method based on block selection is also proposed. Specifically, pixel blocks are classified into embeddable block (EB) and non-embeddable block (NEB). Then, additional data is embedded into only EBs and the position file locating EB is also embedded using a new self-embedding method. Experimental results demonstrate that the proposed method not only achieves high embedding capacity, but also guarantees lossless data extraction and perfect image recovery.

Moncef Gabbouj - One of the best experts on this subject based on the ideXlab platform.

  • EUSIPCO - Reversible Privacy Preservation using Multi-Level Encryption and Compressive Sensing
    2019 27th European Signal Processing Conference (EUSIPCO), 2019
    Co-Authors: Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bulent Sankur, Moncef Gabbouj
    Abstract:

    Security monitoring via ubiquitous cameras and their more extended in intelligent buildings stand to gain from advances in signal processing and machine learning. While these innovative and ground-breaking applications can be considered as a boon, at the same time they raise significant privacy concerns. In fact, recent GDPR (General Data Protection Regulation) legislation has highlighted and become an incentive for privacy-preserving solutions. Typical privacy-preserving video monitoring schemes address these concerns by either anonymizing the sensitive data. However, these approaches suffer from some limitations, since they are usually non-reversible, do not provide multiple Levels of decryption and computationally costly. In this paper, we provide a novel privacy-preserving method, which is reversible, supports de-identification at multiple privacy Levels, and can efficiently perform data acquisition, Encryption and data hiding by combining multi-Level Encryption with compressive sensing. The effectiveness of the proposed approach in protecting the identity of the users has been validated using the goodness of reconstruction quality and strong anonymization of the faces.

  • Reversible Privacy Preservation using Multi-Level Encryption and Compressive Sensing
    2019 27th European Signal Processing Conference (EUSIPCO), 2019
    Co-Authors: Mehmet Yamaç, Mete Ahishali, Nikolaos Passalis, Jenni Raitoharju, Bulent Sankur, Moncef Gabbouj
    Abstract:

    Security monitoring via ubiquitous cameras and their more extended in intelligent buildings stand to gain from advances in signal processing and machine learning. While these innovative and ground-breaking applications can be considered as a boon, at the same time they raise significant privacy concerns. In fact, recent GDPR (General Data Protection Regulation) legislation has highlighted and become an incentive for privacy-preserving solutions. Typical privacy-preserving video monitoring schemes address these concerns by either anonymizing the sensitive data. However, these approaches suffer from some limitations, since they are usually non-reversible, do not provide multiple Levels of decryption and computationally costly. In this paper, we provide a novel privacy-preserving method, which is reversible, supports de-identification at multiple privacy Levels, and can efficiently perform data acquisition, Encryption and data hiding by combining multi-Level Encryption with compressive sensing. The effectiveness of the proposed approach in protecting the identity of the users has been validated using the goodness of reconstruction quality and strong anonymization of the faces.

Zhi-xiang Wang - One of the best experts on this subject based on the ideXlab platform.

  • A chaos-based unequal Encryption mechanism in wireless telemedicine with error decryption
    WSEAS TRANSACTIONS on SYSTEMS archive, 2008
    Co-Authors: Cheng-hsing Chung, Zhi-lu Chen, Chang-jin Song, Zhi-xiang Wang
    Abstract:

    In this paper, we have developed a chaos-based unequal Encryption mechanism which can be applied in the wireless telemedicine with error decryption. The main idea for using chaos sequence is to increase the unpredictability compared with other kinds of random sequences. An essential feature of this unequal Encryption scheme is that a bit stream mapping of 1D chaotic scrambler and a permutation scheme are allocated to the medical information that requires higher Level Encryption. In addition, a bit stream mapping of 1D chaotic scrambler is provided to messages that can meet high speed Encryption. Simulation results show when a correct deciphering parameter is put in, these signals will be completely recovered. As long as there is an input parameter error, for example, with 0.00000001% initial point error, these signals will not be recovered.

  • IIH-MSP - A Chaos Based Unequal Encryption Mechanism in Mobile Medicine System
    Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
    Co-Authors: Cheng-hsing Chung, Zhi-lu Chen, Chang-jin Song, Zhi-xiang Wang
    Abstract:

    In this paper, we propose a chaos base unequal Encryption mechanism for which can apply in mobile medicine system. A main idea for using chaos sequence is to increase the un- predication compared with other kind of random sequences. In addition, an essential feature of this unequal Encryption scheme is that a bit stream mapping of ID chaotic scrambler and a permutation scheme are allocated to the medical information that requires higher Level Encryption. In contrast, a bit stream mapping of ID chaotic scrambler are granted to messages that can tolerate low Level Encryption but meet high speed Encryption. Simulation results show when correct deciphering parameters are put in, the signal will be completely recovered. As long as there is an input parameter error, for example, with 0.00000001% initial point error, it could make chaotic array, and the encrypted signals will not be recovered back.

  • A Chaos Based Unequal Encryption Mechanism in Mobile Medicine System
    Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007
    Co-Authors: Cheng-hsing Chung, Zhi-lu Chen, Chang-jin Song, Zhi-xiang Wang
    Abstract:

    In this paper, we propose a chaos base unequal Encryption mechanism for which can apply in mobile medicine system. A main idea for using chaos sequence is to increase the un- predication compared with other kind of random sequences. In addition, an essential feature of this unequal Encryption scheme is that a bit stream mapping of ID chaotic scrambler and a permutation scheme are allocated to the medical information that requires higher Level Encryption. In contrast, a bit stream mapping of ID chaotic scrambler are granted to messages that can tolerate low Level Encryption but meet high speed Encryption. Simulation results show when correct deciphering parameters are put in, the signal will be completely recovered. As long as there is an input parameter error, for example, with 0.00000001% initial point error, it could make chaotic array, and the encrypted signals will not be recovered back.

Vali Uddin Abbas - One of the best experts on this subject based on the ideXlab platform.

  • A Perceptually Scalable and JPEG Compression Tolerant Image Encryption Scheme
    2010 Fourth Pacific-Rim Symposium on Image and Video Technology, 2010
    Co-Authors: Fawad Ahmed, M Y Siyal, Vali Uddin Abbas
    Abstract:

    In this paper, a perceptually scalable and JPEG compression tolerant DCT-based image Encryption scheme is proposed. There are two main features of the proposed scheme, first the decryption algorithm is able to reconstruct the plaintext-image even if the encrypted image is JPEG compressed. Secondly, the Encryption algorithm can be adjusted to produce cipher-image with varying perceptual distortion. The proposed Encryption scheme relies on some very interesting properties of orthogonal matrices containing columns that form a set of orthonormal basis vectors. It is envisaged that the proposed cryptosystem would enable uncompressed encrypted image files to be transmitted or stored in the JPEG compressed domain thus saving bandwidth and or storage space. Further, the proposed scheme can be used either for low-Level Encryption in which the cipher-image has a degraded visual quality but reflects the contents of the plaintext-image, or high-Level Encryption in which the cipher-image does not reveal any information about the plaintext-image. Experimental results and security analysis is presented to show the viability of the proposed scheme.