AN IMPROVED IMAGE STEGANOGRAPHY BASED ON LEAST SIGNIFICANT BIT MATCHING REVISITED (LSBMR) USING SOBEL EDGE DETECTION

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dc.contributor.authorOCHEJA, Mariam,
dc.date.accessioned2017-09-26T08:11:38Z
dc.date.available2017-09-26T08:11:38Z
dc.date.issued2017-01
dc.descriptionA DISSERTATION SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY, ZARIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF MASTER OF SCIENCE DEGREE IN COMPUTER SCIENCE DEPARTMENT OF COMPUTER SCIENCE, FACULTY OF PHYSICAL SCIENCE AHMADU BELLO UNIVERSITY, ZARIA, NIGERIAen_US
dc.description.abstractImage steganography is the science of hiding data for securing confidential communication and it is the most popular type of carrier to hold information. Many algorithms have been proposed to hide information into digital images. The least significant bit algorithm (LSB) as one of the algorithms proposed is widely used in message embedding. However, the robustness of the algorithm based on LSB is low. The hidden message is usually destroyed when some image operations like resizing, cropping and rotation are applied to the stego-image. To overcome this limitation, this work proposed an improved image steganography based on least significant bit matching revisited (LSBMR) using Sobel edge detection that withstands image operations like resizing, rotation and cropping. The proposed method employs 2-dimensional discrete cosine transformation (2D-DCT) to transform the detected edges of the cover image pixel value into its coefficient, embeds the secret message in the coefficients of the detected edges of the cover image which was implemented in Netbeans IDE. Experimental results produced better stego-image quality that is robust against multiple image operations such as resizing and cropping. The statistical steganalysis tools such as Virtual Steganographic Laboratory (VSL) and StegExpose cannot detect the presence of secret information in the stego-image. Also, the proposed system generated stego-image with Peak Signal to Noise Ratio (PSNR) that is an image quality metric of 68 decibels (dB) for 8000 bits of secret message as regards to the invisibility over the existing steganography technique.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/9237
dc.language.isoenen_US
dc.subjectIMPROVED IMAGE STEGANOGRAPHYen_US
dc.subjectLEAST SIGNIFICANT BIT MATCHING REVISITED (LSBMR)en_US
dc.subjectSOBEL EDGE DETECTIONen_US
dc.titleAN IMPROVED IMAGE STEGANOGRAPHY BASED ON LEAST SIGNIFICANT BIT MATCHING REVISITED (LSBMR) USING SOBEL EDGE DETECTIONen_US
dc.typeThesisen_US
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