JIHPPOpen Access

Journal of Information Hiding and Privacy Protection

ISSN:2637-4234(print)
ISSN:2637-4226(online)
Publication Frequency:Continuously

  • Online
    Articles

    67

  • on board
    editors

    14


About the Journal

Journal of Information Hiding and Privacy Protection focuses on original papers addressing novel ideas, issues, theoretical analysis, implementation, experimental results, systems and applications in the field of Watermarking, Data Hiding, Multimedia Security, and Privacy Protection.

  • Open Access

    ARTICLE

    Hybrid Metaheuristic Lion and Firefly Optimization Algorithm with Chaotic Map for Substitution S-Box Design

    Journal of Information Hiding and Privacy Protection, Vol.6, pp. 21-45, 2024, DOI:10.32604/jihpp.2024.058954 - 31 December 2024
    Abstract Substitution boxes (S-boxes) are key components of symmetrical cryptosystems, acting as nonlinear substitution functions that hide the relationship between the encrypted text and input key. This confusion mechanism is vital for cryptographic security because it prevents attackers from intercepting the secret key by analyzing the encrypted text. Therefore, the S-box design is essential for the robustness of cryptographic systems, especially for the data encryption standard (DES) and advanced encryption standard (AES). This study focuses on the application of the firefly algorithm (FA) and metaheuristic lion optimization algorithm (LOA), thereby proposing a hybrid approach called the… More >

  • Open Access

    ARTICLE

    Pairwise Reversible Data Hiding for Medical Images with Contrast Enhancement

    Journal of Information Hiding and Privacy Protection, Vol.6, pp. 1-19, 2024, DOI:10.32604/jihpp.2024.051354 - 24 June 2024
    Abstract Contrast enhancement in medical images has been vital since the prevalence of image representations in healthcare. In this research, the PRDHMCE (pairwise reversible data hiding for medical images with contrast enhancement) algorithm is proposed as an automatic contrast enhancement (CE) method for medical images based on region of interest (ROI) and non-region of interest (NROI). The PRDHMCE algorithm strategically enhances the ROI after segmentation using histogram stretching and data embedding. An initial histogram evaluation compares histogram bins with their neighbours to select the bin with the maximum pixel count. The selected bin is set as More >

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