# Image Steganography with Cryptography using Multiple Key Patterns

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3 The receiver retrieves the key number from the pixel and the ciphertext from the stego image as given by the pattern in the key used. The ciphertext obtained is decrypted by using the respective decryption algorithm for the encryption algorithm used at sender. As the multiple keys are used in the proposed system it is robust against the attacks. Step7: Choose any random key from the multiple stego keys. Step8: The selected key number is embedded in the red attribute of first pixel of the cover image. Step9: Check whether the cipherlen is larger than key length or not. If the keylength is larger than cipherlen then based on the pattern given in the stego key the ciphertext is embedded into the image Step10: If the cipherlen is larger than keylength then the ciphertext is divided into blocks of keylength size and the ciphertext is embedded into the image based on the pattern in the selected random stego key. Step11: With the new pixel values generate stego image. Step12:The image generated using proposed steganographic system is sent to the receiver. Step13: Stop. (b)algorithm for retrieving plaintext from Stego image: Figure 2: Cover image Step1: Start Step2: Accept the stego image generated by the sender. Step3: Read the cipherlen from the first pixel of the stego image. Step4: Read the key number embedded into the stego image from first pixel of stego image. Step5: Check whether the cipherlen is larger than key length or not. If the keylength is larger than cipherlen then based on the pattern given in the stego key the ciphertext is retrieved from the image Figure 3: Stego image 2.1 Algorithms for the proposed system: (a)algorithm for embedding text into the cover image: Step1: Start Step2: Accept the plaintext as input. Step3: Encrypt the plaintext using strong encryption algorithm to get the ciphertext using secret key. Step4: Accept the image in which the ciphertext or the sensitive message is to be embedded i.e the cover image. Step6: If the cipherlen is larger than keylength then the pixels is divided into blocks of keylength size and the ciphertext is retrieved from these blocks of pixels based on the pattern in the stego key. Step7: The ciphertext is thus obtained from the Stego image. Step8: Decrypt the ciphertext by using the corresponding decryption algorithm using secret key. Step9: The output obtained from the decryption is the required plaintext or the sensitive information. Step10: Stop. 2.2 Flow charts:p=plaintext, C=Ciphertext, c=pixel color, CI=Cover Image, SI=Stego Image Step5: Calculate the length of the ciphertext and store in a variable cipherlen. Step6: The value of cipherlen is embedded in the green attribute of first pixel of the cover image. 14

4 (a) Process of embedding text in Cover image (b) Process of Retrieving Plaintext from Stego image Start Start Read P Read SI Encrypt P using encryption algorithm to get C Read the cipherlen and key number from the first and second pixels Read the cover image CI Cipherlen=length of C Embed the cipherlen in green attribute of first pixel of CI i.e c.g=cipherlen Choose random key k from shared multiple keys. Random key value is embedded in red attribute of first pixel i.e c.r=k If cipherlen<k eylength false Divide the pixels of the stego image into blocks of length=keylength true If keylength >cipherle true Read the C byte values from the corresponding attributes of pixels using the pattern specified in the stego key[] false Divide the ciphertext into blocks of keylength size From this Byte array C is generated Using the stego key[],the C byte values are embedded in the corresponding attributes of pixels with the specified pattern Decrypt C by using Decryption algorithm The output obtained in above step is the required P With this new pixel values the SI is constructed. Stop Stop 15

5 Start 3. ILLUSTRATION OF PIXEL EMBEDDING IN AN IMAGE Let us consider a cover image C which is given below. Read SI Read the cipherlen and key number from the first and second pixels If cipherlen<k eylength Divide the pixels of the stego image into blocks of length=keylength Read the C byte values from the corresponding attributes of pixels using the pattern specified in the stego key[] From this Byte array C is generated Decrypt C by using Decryption algorithm Figure 4: Cover image The sensitive message that has to be embedded in the cover image be security. Secret key: data embedding (key size:192 bits) Ciphertext: 7AsrYfRN/opJjg3FxHMHvA== This ciphertext is converted into byte array and the data is embedded in the pixels using the proposed system. The output is the Stego image which contains the sensitive information in the pixels. The Stego key used in embedding process is given below. Stego key: { r, g, b, r, g, b } The Stego image obtained after embedding is as shown below. The output obtained in above step is the required P Stop Figure 5: Stego image 16

7 [3] A. Nag, S. Biswas, D. Sarkar, P. P. Sarkar A novel technique for image steganography based on Block-DCT and Huffman Encoding, International Journal of Computer Science and Information Technology, Volume 2, Number 3, June [4] Chamkor Singh and Gaurav Deep Cluster Based Image Steganography Using Pattern Matching, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS). [5] Neil F.Johnson,Sushil Jojodia Exploring Steganography : Seeing the Unseen IEEE computer, February 1998 pp [6] R. Chandramouli, Nasir Memon, Analysis of LSB Based Image Steganography Techniques Proc. IEEE ICIP pp , Aruna Varanasi is presently working as Professor and head in the Department of Computer Science and Engineering (CSE), Sreenidhi Institute of Science and Technology (SNIST), Hyderabad, India. She was awarded Suman Sharma by Institute of Engineers ( India ), Calcutta for securing highest marks among women in India in AMIE course. M.Lakshmi Anjana is presently pursuing Bachelors of technology in Computer Science and technology from Sreenidhi Institute of Science and technology(snist), Hyderabad,India. Pravallika Pasupulate is presently pursuing Bachelors of technology in Computer Science and technology from Sreenidhi Institute of Science and technology(snist), Hyderabad,India. IJCA TM : 18

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