A Secure Steganographic Algorithm Based on Frequency Domain for the Transmission of Hidden Information

datacite.alternateIdentifier.citationSECURITY AND COMMUNICATION NETWORKS,Vol.,,2017
datacite.alternateIdentifier.doi10.1155/2017/5397082
datacite.creatorSoria-Lorente, A.
datacite.creatorBerres, Stefan
datacite.date2017
datacite.titleA Secure Steganographic Algorithm Based on Frequency Domain for the Transmission of Hidden Information
dc.date.accessioned2021-04-30T17:07:21Z
dc.date.available2021-04-30T17:07:21Z
dc.description.abstractThis contribution proposes a novel steganographic method based on the compression standard according to the Joint Photographic Expert Group and an Entropy Thresholding technique. The steganographic algorithm uses one public key and one private key to generate a binary sequence of pseudorandom numbers that indicate where the elements of the binary sequence of a secret message will be inserted. The insertion takes eventually place at the first seven AC coefficients in the transformed DCT domain. Before the insertion of the message the image undergoes several transformations. After the insertion the inverse transformations are applied in reverse order to the original transformations. The insertion itself takes only place if an entropy threshold of the corresponding block is satisfied and if the pseudorandom number indicates to do so. The experimental work on the validation of the algorithm consists of the calculation of the peak signal-to-noise ratio (PSNR), the difference and correlation distortionmetrics, the histogram analysis, and the relative entropy, comparing the same characteristics for the cover and stego image. The proposed algorithm improves the level of imperceptibility analyzed through the PSNR values. A steganalysis experiment shows that the proposed algorithmis highly resistant against the Chi-square attack.
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/4117
dc.language.isoen
dc.publisherWILEY-HINDAWI
dc.sourceSECURITY AND COMMUNICATION NETWORKS
oaire.resourceTypeArticle
uct.catalogadorWOS
uct.indizacionSCI
Files