MATLAB Implementation of the Steganographic Algorithm F5 : Matlab Codes for F5 Algorithm

Wassim Al Chamaa

ISBN 10: 3668933448 / ISBN 13: 9783668933446

Published by GRIN Verlag, 2019

About this Item

Druck auf Anfrage Neuware - Printed after ordering - Project Report from the year 2018 in the subject Computer Science - Programming, , language: English, abstract: The F5 algorithm proposed by Westfeld is still one of the most known algorithms in the field of DCT-based steganography. It can make a JPEG image a container of a secret message, where no one knows the presence of the message except the sender and the intended receiver. In this programming work, we show how to realize the F5 algorithm via Matlab. We present the block diagrams of embedding and extracting processes and the entire Matlab code of the F5 algorithm.Some Notes about the F5 Matlab code:1- The implementation code works according to the method proposed by Andreas Westfield in his paper:' F5-A Steganographic Algorithm : High Capacity Despite Better Steganalysis '.Huffman coding and decoding are implemented using the Matlab JPEG Toolbox developed by Phil Sallee.2- The two-part Matlab code included in the report, embedding and extracting parts, can be executed in Matlab IDE. The embedding part reads the cover JPEG file and the message file we want to hide, then it creates a Stego JPEG file according to the F5 algorithm. On the other side, The extracting part reads the Stego JPEG file, and then it extracts the hidden message file.3- The F5 code calls the main two functions of Phil Sallee's Matlab Toolbox; JPEG reading and writing. These functions make it easier to access and manipulate the quantized DCT coefficients of a given JPEG file. Using Sallee's Toolbox should accord with the used operating system, whether it is 32 or 64 bits.4- The F5 code contains the function to form the image matrix to show the input and output images. Running this function requires ALL the Sallee's Toolbox to be installed. Otherwise, the user can REMOVE this function from the code since it doesn't affect the main F5 process and thus keep ONLY using the main two function of the Sallee's Toolbox.5- The message file we want to hide can be any file of any kind and whatever its extension. The size of the message file should be appropriate for the size of the used cover JPEG image, so no errors will occur when executed.

Seller Inventory # 9783668933446

Bibliographic Details

• Title: MATLAB Implementation of the Steganographic Algorithm F5 : Matlab Codes for F5 Algorithm
• Publisher: GRIN Verlag
• Publication Date: 2019
• Language: English
• ISBN 10: 3668933448
• ISBN 13: 9783668933446
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 210W x 148H x 3D millimeters 210 millimeters width by 148 millimeters height by 3 millimeters depth
• Weight: 56 grams

About this title

Synopsis

Project Report from the year 2018 in the subject Computer Science - Programming, language: English, abstract: The F5 algorithm proposed by Westfeld is still one of the most known algorithms in the field of DCT-based steganography. It can make a JPEG image a container of a secret message, where no one knows the presence of the message except the sender and the intended receiver. In this programming work, we show how to realize the F5 algorithm via Matlab. We present the block diagrams of embedding and extracting processes and the entire Matlab code of the F5 algorithm. Some Notes about the F5 Matlab code: 1- The implementation code works according to the method proposed by Andreas Westfield in his paper: " F5-A Steganographic Algorithm: High Capacity Despite Better Steganalysis ". Huffman coding and decoding are implemented using the Matlab JPEG Toolbox developed by Phil Sallee. 2- The two-part Matlab code included in the report, embedding and extracting parts, can be executed in Matlab IDE. The embedding part reads the cover JPEG file and the message file we want to hide, then it creates a Stego JPEG file according to the F5 algorithm. On the other side, The extracting part reads the Stego JPEG file, and then it extracts the hidden message file. 3- The F5 code calls the main two functions of Phil Sallee's Matlab Toolbox; JPEG reading and writing. These functions make it easier to access and manipulate the quantized DCT coefficients of a given JPEG file. Using Sallee's Toolbox should accord with the used operating system, whether it is 32 or 64 bits. 4- The F5 code contains the function to form the image matrix to show the input and output images. Running this function requires ALL the Sallee's Toolbox to be installed. Otherwise, the user can REMOVE this function from the code since it doesn't affect the main F5 process and thus keep ONLY using the main two function of the Sallee's Toolbox. 5- The message file we want to hide can be any file of any kind a