FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2569782802> ?p ?o ?g. }

• W2569782802 abstract "The rapid advancements in digital communication technology and huge increase in computer power have generated an exponential growth in the use of the Internet for various commercial, governmental and social interactions that involve transmission of a variety of complex data and multimedia objects. Securing the content of sensitive as well as personal transactions over open networks while ensuring the privacy of information has become essential but increasingly challenging. Therefore, information and multimedia security research area attracts more and more interest, and its scope of applications expands significantly. Communication security mechanisms have been investigated and developed to protect information privacy with Encryption and Steganography providing the two most obvious solutions. Encrypting a secret message transforms it to a noise-like data which is observable but meaningless, while Steganography conceals the very existence of secret information by hiding in mundane communication that does not attract unwelcome snooping. Digital steganography is concerned with using images, videos and audio signals as cover objects for hiding secret bit-streams. Suitability of media files for such purposes is due to the high degree of redundancy as well as being the most widely exchanged digital data. Over the last two decades, there has been a plethora of research that aim to develop new hiding schemes to overcome the variety of challenges relating to imperceptibility of the hidden secrets, payload capacity, efficiency of embedding and robustness against steganalysis attacks. Most existing techniques treat secrets as random bit-streams even when dealing with non-random signals such as images that may add to the toughness of the challenges.This thesis is devoted to investigate and develop steganography schemes for embedding secret images in image files. While many existing schemes have been developed to perform well with respect to one or more of the above objectives, we aim to achieve optimal performance in terms of all these objectives. We shall only be concerned with embedding secret images in the spatial domain of cover images.The main difficulty in addressing the different challenges stems from the fact that the act of embedding results in changing cover image pixel values that cannot be avoided, although these changes may not be easy to detect by the human eye. These pixel changes is a consequence of dissimilarity between the cover LSB plane and the secretimage bit-stream, and result in changes to the statistical parameters of stego-image bit-planes as well as to local image features. Steganalysis tools exploit these effects to model targeted as well as blind attacks. These challenges are usually dealt with by randomising the changes to the LSB, using different/multiple bit-planes to embed one or more secret bits using elaborate schemes, or embedding in certain regions that are noise-tolerant. Our innovative approach to deal with these challenges is first to develop some image procedures and models that result in increasing similarity between the cover image LSB plane and the secret image bit-stream. This will be achieved in two novel steps involving manipulation of both the secret image and the cover image, prior to embedding, that result a higher 0:1 ratio in both the secret bit-stream and the cover pixels‘ LSB plane.For the secret images, we exploit the fact that image pixel values are in general neither uniformly distributed, as is the case of random secrets, nor spatially stationary. We shall develop three secret image pre-processing algorithms to transform the secret image bit-stream for increased 0:1 ratio. Two of these are similar, but one in the spatial domain and the other in the Wavelet domain. In both cases, the most frequent pixels are mapped onto bytes with more 0s. The third method, process blocks by subtracting their means from their pixel values and hence reducing the require number of bits to represent these blocks. In other words, this third algorithm also reduces the length of the secret image bit-stream without loss of information. We shall demonstrate that these algorithms yield a significant increase in the secret image bit-stream 0:1 ratio, the one that based on the Wavelet domain is the best-performing with 80% ratio.For the cover images, we exploit the fact that pixel value decomposition schemes, based on Fibonacci or other defining sequences that differ from the usual binary scheme, expand the number of bit-planes and thereby may help increase the 0:1 ratio in cover image LSB plane. We investigate some such existing techniques and demonstrate that these schemes indeed lead to increased 0:1 ratio in the corresponding cover image LSB plane. We also develop a new extension of the binary decomposition scheme that is the best-performing one with 77% ratio.We exploit the above two steps strategy to propose a bit-plane(s) mapping embedding technique, instead of bit-plane(s) replacement to make each cover pixel usable for secret embedding. This is motivated by the observation that non-binary pixel decomposition schemes also result in decreasing the number of possible patterns for the three first bit-planes to 4 or 5 instead of 8. We shall demonstrate that the combination of the mapping-based embedding scheme and the two steps strategy produces stego-images that have minimal distortion, i.e. reducing the number of the cover pixels changes after message embedding and increasing embedding efficiency. We shall also demonstrate that these schemes result in reasonable stego-image quality and are robust against all the targeted steganalysis tools but not against the blind SRM tool.We shall finally identify possible future work to achieve robustness against SRM at some payload rates and further improve stego-image quality." @default.
• W2569782802 created "2017-01-13" @default.
• W2569782802 creator A5055935369 @default.
• W2569782802 date "2015-10-01" @default.
• W2569782802 modified "2023-09-27" @default.
• W2569782802 title "Exploiting similarities between secret and cover images for improved embedding efficiency and security in digital steganography" @default.
• W2569782802 cites W128690574 @default.
• W2569782802 cites W130304370 @default.
• W2569782802 cites W1524144700 @default.
• W2569782802 cites W1527181506 @default.
• W2569782802 cites W1565541031 @default.
• W2569782802 cites W1589812914 @default.
• W2569782802 cites W1591473542 @default.
• W2569782802 cites W1671708284 @default.
• W2569782802 cites W1760530029 @default.
• W2569782802 cites W176530626 @default.
• W2569782802 cites W1805106137 @default.
• W2569782802 cites W1847268139 @default.
• W2569782802 cites W1878907771 @default.
• W2569782802 cites W1938394549 @default.
• W2569782802 cites W1969171557 @default.
• W2569782802 cites W1973246981 @default.
• W2569782802 cites W1978773133 @default.
• W2569782802 cites W1982422912 @default.
• W2569782802 cites W1987446298 @default.
• W2569782802 cites W1988134477 @default.
• W2569782802 cites W1993862697 @default.
• W2569782802 cites W2000604990 @default.
• W2569782802 cites W2004786611 @default.
• W2569782802 cites W2005877257 @default.
• W2569782802 cites W2006286269 @default.
• W2569782802 cites W2008307235 @default.
• W2569782802 cites W2009130368 @default.
• W2569782802 cites W2009944278 @default.
• W2569782802 cites W2014921834 @default.
• W2569782802 cites W2016226405 @default.
• W2569782802 cites W2017175959 @default.
• W2569782802 cites W2018066860 @default.
• W2569782802 cites W2018576906 @default.
• W2569782802 cites W2027135161 @default.
• W2569782802 cites W2027984672 @default.
• W2569782802 cites W2030131459 @default.
• W2569782802 cites W2031865175 @default.
• W2569782802 cites W2040691809 @default.
• W2569782802 cites W2041560266 @default.
• W2569782802 cites W2047589404 @default.
• W2569782802 cites W2061076834 @default.
• W2569782802 cites W2075652908 @default.
• W2569782802 cites W2083122891 @default.
• W2569782802 cites W2090289871 @default.
• W2569782802 cites W2091387606 @default.
• W2569782802 cites W2097676510 @default.
• W2569782802 cites W2099654405 @default.
• W2569782802 cites W2100693160 @default.
• W2569782802 cites W2101880263 @default.
• W2569782802 cites W2103228545 @default.
• W2569782802 cites W2104291851 @default.
• W2569782802 cites W2105143518 @default.
• W2569782802 cites W2107476778 @default.
• W2569782802 cites W2109206411 @default.
• W2569782802 cites W2110755512 @default.
• W2569782802 cites W2114318320 @default.
• W2569782802 cites W2114953175 @default.
• W2569782802 cites W2117197462 @default.
• W2569782802 cites W2118426301 @default.
• W2569782802 cites W2124664712 @default.
• W2569782802 cites W2124890704 @default.
• W2569782802 cites W2127913350 @default.
• W2569782802 cites W2129099117 @default.
• W2569782802 cites W2133665775 @default.
• W2569782802 cites W2134527668 @default.
• W2569782802 cites W2144660425 @default.
• W2569782802 cites W2145010953 @default.
• W2569782802 cites W2145144988 @default.
• W2569782802 cites W2146111935 @default.
• W2569782802 cites W2146621575 @default.
• W2569782802 cites W2148808559 @default.
• W2569782802 cites W2151346626 @default.
• W2569782802 cites W2153615901 @default.
• W2569782802 cites W2155417909 @default.
• W2569782802 cites W2158320630 @default.
• W2569782802 cites W2159269332 @default.
• W2569782802 cites W2159390040 @default.
• W2569782802 cites W2165781897 @default.
• W2569782802 cites W2166143274 @default.
• W2569782802 cites W2168502427 @default.
• W2569782802 cites W2169552486 @default.
• W2569782802 cites W2170598445 @default.
• W2569782802 cites W2533917688 @default.
• W2569782802 cites W2540821218 @default.
• W2569782802 cites W2542290803 @default.
• W2569782802 cites W2885039286 @default.
• W2569782802 cites W2931039267 @default.
• W2569782802 cites W3142067920 @default.
• W2569782802 cites W84056189 @default.
• W2569782802 cites W2529042986 @default.
• W2569782802 hasPublicationYear "2015" @default.
• W2569782802 type Work @default.
• W2569782802 sameAs 2569782802 @default.
• W2569782802 citedByCount "6" @default.

• next