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Data Hiding Using Fuzzy Logic

Data Hiding Using Fuzzy Logicvon Farida Khursheed Sie sparen 15% des UVP sparen 15%
Über Data Hiding Using Fuzzy Logic

With the improvement in cryptanalysis techniques, need of more secure techniques evolved. Accordingly, people thought of using covers for hiding the sensitive information. This hiding of information in covers is known as Steganography. In Steganography that uses images as covers, main goal is to embed information in such a way so as to make information imperceptible. A number of techniques were developed to embed the information in spatial and frequency domain .For embedding of information in transform domain the images are first transformed to frequency domain to save it from Common cover attacks. However, transformation of image into frequency domain for embedding and then retrieval of information is computationally expens¿ve. In this work, therefore, attempt has been made to embed the information in fuzzy logic domain. Results reveal the advantages of embedding not only in terms of computational ease but it also in terms of embedding versatility; since it embeds text, color and grey level images with higher payload and imperceptibility.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9786139451548
  • Einband:
  • Taschenbuch
  • Seitenzahl:
  • 72
  • Veröffentlicht:
  • 20. Februar 2019
  • Abmessungen:
  • 150x5x220 mm.
  • Gewicht:
  • 125 g.
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Beschreibung von Data Hiding Using Fuzzy Logic

With the improvement in cryptanalysis techniques, need of more secure techniques evolved. Accordingly, people thought of using covers for hiding the sensitive information. This hiding of information in covers is known as Steganography. In Steganography that uses images as covers, main goal is to embed information in such a way so as to make information imperceptible. A number of techniques were developed to embed the information in spatial and frequency domain .For embedding of information in transform domain the images are first transformed to frequency domain to save it from Common cover attacks. However, transformation of image into frequency domain for embedding and then retrieval of information is computationally expens¿ve. In this work, therefore, attempt has been made to embed the information in fuzzy logic domain. Results reveal the advantages of embedding not only in terms of computational ease but it also in terms of embedding versatility; since it embeds text, color and grey level images with higher payload and imperceptibility.

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