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Implementation of Recursive method in Image Steganography
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2015 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesisAlternative title
Genomförande av Rekursiv metod Bild Steganography (Swedish)
Abstract [en]

Nowadays steganographic techniques are with us and in everywhere because we are using information more and more and we need to have or transform the information as secure as possible. In these techniques we need to secure the information by encrypting (coding) and decrypting (decoding). In this thesis we propose a different coding procedure based on recursive methodology. We used image as medium for this steganographic technique. An image is splitted (coded) and merged (decoded) by recursive procedure. Our experiments show that the technique is applicable for both Gray Scale and Color images and also no need of providing a key security facility at the decoder end.

Abstract [sv]

Making an information secure is the most difficult task as more number of hackers are available in the market. For that the proposed technique works more reliable since it has been developed using Recursive algorithm for Encrypting the image. Image has been encrypted in such a way that it had been splitted into pieces, so that it looked like noise for a naked eye. This method confuses the hacker even if a hacker can recognize it due to its encryption technique.The same inverse Recursive algorithm is used for decrypting the Encrypted image. The proposed technique worked relaibly when the encrypted has been passed through different decrypting techniques available in market.

Place, publisher, year, edition, pages
2015. , 37 p.
Keyword [en]
Splitting, Encryption, Decryption, Recursive, Steganography
Keyword [sv]
Master of Science Programme in Electrical Engineering with emphasis on Signal Processing /Masterprogram i Elektroteknik med inriktning mot signalbehandling
National Category
Signal Processing
URN: urn:nbn:se:bth-2490Local ID: diva2:829769
+919885659419Available from: 2015-04-22 Created: 2015-03-21 Last updated: 2015-06-30Bibliographically approved

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