Click here to Skip to main content
15,867,594 members
Articles / Programming Languages / C#
Tip/Trick

Steganography: Simple Implementation in C#

Rate me:
Please Sign up or sign in to vote.
4.87/5 (59 votes)
22 Apr 2014CPOL4 min read 299.7K   18.6K   85   74
Embed/extract a text in/from an image

Introduction

Steganography is the art and science of hiding information by embedding messages within others. Steganography works by replacing bits of useless or unused data in regular computer files with bits of different, invisible information. This hidden information can be plain text, cipher text, or even images [*] .

I've implemented two main methods for that purpose: embedText and extractText. You can find the full and documented code with a running example attached to this tip.

Executing the Code

If you download the attached sample project, it allows you to open an image, write your text or import a text file, optionally encrypt your text before starting processing, embed the text in the image, and finally, save the result image in either PNG or BMP formats. Then you can reopen that image and extract the text from it.

Image 1

Caution: Don't save the result image in a lossy format (like JPEG); your data will be lost. Saving it as PNG is pretty good.

Explaining the Code

As mentioned before, Steganography works by replacing bits of useless or unused data in regular computer files with bits of our important data. In our case, our data will be the plain text that we need to hide, and the unused data is the least significant bits (LSBs) in the image pixels.

What is the LSB?

In order to find the decimal value of a binary value, we sum all 1s in the binary value but multiplied by 2n, where n is the position/index of the 1 from the right, starting from zero. For example, to convert 01100101 to decimal, then starting from the right, the equivalent decimal value is 1x20 + 1x22 + 1x25 + 1x26 = 1 + 4 + 32 + 64 = 101

Image 2

The least significant bit (LSB) is the bit that when flipped from 0 to 1 or from 1 to 0, then no significant change will occur on the total value. It's the bit on the rightmost, that when flipped, the value will be only affected by 1 to be 100 instead of 101. This means that the image will not be significantly affected when we reserve this bit for our purpose. Where the most significant bit (MSB) is bit on the leftmost, that when flipped, the value will be affected by 128 (1x27) to be 229 instead of 101.

When we try to hide our data in an image (as in our case), then we need enough budget of LSBs to hide our data in. These bits are located in the image pixels. Since each pixel has three elements (R, G, and B that represent the Red, Green, and Blue elements of the pixel consecutively, assuming non-transparent image), each of these elements can have a value between 0 and 255. Now, assume that the image was 300 pixels width by 400 pixels height, then we'll have 300 x 400 x 3 = 360000 LSBs. And as each character can be represented by 8 bits, then that image can hide 360000 / 8 = 45000 characters!

Step by Step

  1. Hiding the text inside the image
    • Loop through the pixels of the image. In each iteration, get the RGB values separated each in a separate integer.
    • For each of R, G, and B, make the LSB equals to 0. These bits will be used in hiding characters.
    • Get the current character and convert it to integer. Then hide its 8 bits in R1, G1, B1, R2, G2, B2, R3, G3, where the numbers refer to the numbers of the pixels. In each LSB of these elements (from R1 to G3), hide the bits of the character consecutively.
    • When the 8 bits of the character are processed, jump to the next character, and repeat the process until the whole text is processed.
    • The text can be hidden in a small part of the image according to the length of that text. So, there must be something to indicate that here we reached the end of the text. The indicator is simply 8 consecutive zeros. This will be needed when extracting the text from the image.
  2. Extracting the text from the image

    It's more simple than hiding. Just pass through the pixels of the image until you find 8 consecutive zeros. As you are passing, pick the LSB from each pixel element (R, G, B) and attach it into an empty value. When the 8 bits of this value are done, convert it back to character, then add that character to the result text you are seeking.

The Source Code

C#
class SteganographyHelper
{
    public enum State
    {
        Hiding,
        Filling_With_Zeros
    };

    public static Bitmap embedText(string text, Bitmap bmp)
    {
        // initially, we'll be hiding characters in the image
        State state = State.Hiding;

        // holds the index of the character that is being hidden
        int charIndex = 0;

        // holds the value of the character converted to integer
        int charValue = 0;

        // holds the index of the color element (R or G or B) that is currently being processed
        long pixelElementIndex = 0;

        // holds the number of trailing zeros that have been added when finishing the process
        int zeros = 0;

        // hold pixel elements
        int R = 0, G = 0, B = 0;

        // pass through the rows
        for (int i = 0; i < bmp.Height; i++)
        {
            // pass through each row
            for (int j = 0; j < bmp.Width; j++)
            {
                // holds the pixel that is currently being processed
                Color pixel = bmp.GetPixel(j, i);

                // now, clear the least significant bit (LSB) from each pixel element
                R = pixel.R - pixel.R % 2;
                G = pixel.G - pixel.G % 2;
                B = pixel.B - pixel.B % 2;

                // for each pixel, pass through its elements (RGB)
                for (int n = 0; n < 3; n++)
                {
                    // check if new 8 bits has been processed
                    if (pixelElementIndex % 8 == 0)
                    {
                        // check if the whole process has finished
                        // we can say that it's finished when 8 zeros are added
                        if (state == State.Filling_With_Zeros && zeros == 8)
                        {
                            // apply the last pixel on the image
                            // even if only a part of its elements have been affected
                            if ((pixelElementIndex - 1) % 3 < 2)
                            {
                                bmp.SetPixel(j, i, Color.FromArgb(R, G, B));
                            }

                            // return the bitmap with the text hidden in
                            return bmp;
                        }

                        // check if all characters has been hidden
                        if (charIndex >= text.Length)
                        {
                            // start adding zeros to mark the end of the text
                            state = State.Filling_With_Zeros;
                        }
                        else
                        {
                            // move to the next character and process again
                            charValue = text[charIndex++];
                        }
                    }

                    // check which pixel element has the turn to hide a bit in its LSB
                    switch (pixelElementIndex % 3)
                    {
                        case 0:
                            {
                                if (state == State.Hiding)
                                {
                                    // the rightmost bit in the character will be (charValue % 2)
                                    // to put this value instead of the LSB of the pixel element
                                    // just add it to it
                                    // recall that the LSB of the pixel element had been cleared
                                    // before this operation
                                    R += charValue % 2;

                                    // removes the added rightmost bit of the character
                                    // such that next time we can reach the next one
                                    charValue /= 2;
                                }
                            } break;
                        case 1:
                            {
                                if (state == State.Hiding)
                                {
                                    G += charValue % 2;

                                    charValue /= 2;
                                }
                            } break;
                        case 2:
                            {
                                if (state == State.Hiding)
                                {
                                    B += charValue % 2;

                                    charValue /= 2;
                                }

                                bmp.SetPixel(j, i, Color.FromArgb(R, G, B));
                            } break;
                    }

                    pixelElementIndex++;

                    if (state == State.Filling_With_Zeros)
                    {
                        // increment the value of zeros until it is 8
                        zeros++;
                    }
                }
            }
        }

        return bmp;
    }

    public static string extractText(Bitmap bmp)
    {
        int colorUnitIndex = 0;
        int charValue = 0;

        // holds the text that will be extracted from the image
        string extractedText = String.Empty;

        // pass through the rows
        for (int i = 0; i < bmp.Height; i++)
        {
            // pass through each row
            for (int j = 0; j < bmp.Width; j++)
            {
                Color pixel = bmp.GetPixel(j, i);

                // for each pixel, pass through its elements (RGB)
                for (int n = 0; n < 3; n++)
                {
                    switch (colorUnitIndex % 3)
                    {
                        case 0:
                            {
                                // get the LSB from the pixel element (will be pixel.R % 2)
                                // then add one bit to the right of the current character
                                // this can be done by (charValue = charValue * 2)
                                // replace the added bit (which value is by default 0) with
                                // the LSB of the pixel element, simply by addition
                                charValue = charValue * 2 + pixel.R % 2;
                            } break;
                        case 1:
                            {
                                charValue = charValue * 2 + pixel.G % 2;
                            } break;
                        case 2:
                            {
                                charValue = charValue * 2 + pixel.B % 2;
                            } break;
                    }

                    colorUnitIndex++;

                    // if 8 bits has been added,
                    // then add the current character to the result text
                    if (colorUnitIndex % 8 == 0)
                    {
                        // reverse? of course, since each time the process occurs
                        // on the right (for simplicity)
                        charValue = reverseBits(charValue);

                        // can only be 0 if it is the stop character (the 8 zeros)
                        if (charValue == 0)
                        {
                            return extractedText;
                        }

                        // convert the character value from int to char
                        char c = (char)charValue;

                        // add the current character to the result text
                        extractedText += c.ToString();
                    }
                }
            }
        }

        return extractedText;
    }

    public static int reverseBits(int n)
    {
        int result = 0;

        for (int i = 0; i < 8; i++)
        {
            result = result * 2 + n % 2;

            n /= 2;
        }

        return result;
    }
}

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Engineer seeking a job
Jordan Jordan
Mobile Applications and .Net Developer (seeking a job)
hamztaxerror@yahoo.com

Comments and Discussions

 
AnswerRe: fail Pin
Hamzeh soboh14-Aug-13 6:29
professionalHamzeh soboh14-Aug-13 6:29 
GeneralRe: fail Pin
watauchimmer9-Sep-13 2:55
watauchimmer9-Sep-13 2:55 
GeneralRe: fail Pin
Hamzeh soboh13-Sep-13 10:35
professionalHamzeh soboh13-Sep-13 10:35 
GeneralMy vote of 4 Pin
Bruno Tabbia12-Aug-13 20:06
Bruno Tabbia12-Aug-13 20:06 
QuestionExcellent Pin
MobiSailors12-Aug-13 10:51
MobiSailors12-Aug-13 10:51 
GeneralMy vote of 1 Pin
RAND 45586612-Aug-13 5:39
RAND 45586612-Aug-13 5:39 
GeneralRe: My vote of 1 Pin
Hamzeh soboh12-Aug-13 6:01
professionalHamzeh soboh12-Aug-13 6:01 
GeneralRe: My vote of 1 Pin
Smitha Nishant12-Aug-13 6:04
protectorSmitha Nishant12-Aug-13 6:04 
Could you provide the missing download file?

Thanks
Smitha
Are you an aspiring author? Read how to submit articles to CodeProject: Article Submission Guidelines[^]

Questions? Ask an editor here...

GeneralRe: My vote of 1 Pin
Hamzeh soboh12-Aug-13 9:45
professionalHamzeh soboh12-Aug-13 9:45 
GeneralRe: My vote of 1 Pin
bailes12-Aug-13 11:38
bailes12-Aug-13 11:38 
GeneralRe: My vote of 1 Pin
Hamzeh soboh12-Aug-13 12:31
professionalHamzeh soboh12-Aug-13 12:31 

General General    News News    Suggestion Suggestion    Question Question    Bug Bug    Answer Answer    Joke Joke    Praise Praise    Rant Rant    Admin Admin   

Use Ctrl+Left/Right to switch messages, Ctrl+Up/Down to switch threads, Ctrl+Shift+Left/Right to switch pages.