Improving Quality of Friendly Progressive Visual Secret Sharing using Essential Shares

التفاصيل البيبلوغرافية
العنوان: Improving Quality of Friendly Progressive Visual Secret Sharing using Essential Shares
المؤلفون: Srividhya Sridhar, Gnanou Florence Sudha
المصدر: 2020 International Conference on Communication and Signal Processing (ICCSP).
بيانات النشر: IEEE, 2020.
سنة النشر: 2020
مصطلحات موضوعية: Scheme (programming language), 021110 strategic, defence & security studies, Hierarchy, Theoretical computer science, Cover (telecommunications), business.industry, Computer science, 0211 other engineering and technologies, 02 engineering and technology, Encryption, Secret sharing, Image (mathematics), business, computer, Decoding methods, TRACE (psycholinguistics), computer.programming_language
الوصف: Friendly Progressive Visual Secret Sharing (FPVSS) shares the secret image using meaningful shares to n users such that $k(k \leq n)$ or more than k users can reconstruct the secret image progressively without computations. Existing FPVSS have the problems such as residual trace of cover image, poor quality of meaningful shares and reconstructed image. Hence this paper implements FPVSS using essential shares to overcome the problems of existing work. In addition to that, the proposed scheme can also be used in hierarchy secret sharing. The simulation result shows the effectiveness of proposed scheme.
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::61abcf97026d53b982bdff5f10e3d01d
https://doi.org/10.1109/iccsp48568.2020.9182399
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........61abcf97026d53b982bdff5f10e3d01d
قاعدة البيانات: OpenAIRE