Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

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Author: search.filters.author.Chandrasekaran, K.Subject: search.filters.subject.Steganography

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    New Data Hiding Technique in Encrypted Image: DKL Algorithm (Differing Key Length)
    (Elsevier, 2015) Udhayavene, S.; Dev, A.T.; Chandrasekaran, K.
    This paper introduces a new technique to increase the information security over the network using steganography in such a way that the secret message being sent is unidentifiable. There is a comparison made to give a clear view of how the algorithm proposed is better than LSB algorithm which is used since a long time for sending concealed messages. To avoid the chances of an attacker using steganalysis to retrieve the data, the data encryption is done. S-tool is used to show the reliability of this algorithm. We will be comparing both LSB and DKL algorithms on the basis of Mean Square Error, Peak Signal Noise Ratio, Relative Payload and Rate of Embedding. Here by its shown that DKL algorithm is more efficient than LSB algorithm. © 2015 The Authors.
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    Dual stage text steganography using unicode homoglyphs
    (Springer Verlag service@springer.de, 2015) Hosmani, S.; Bhat, H.G.R.; Chandrasekaran, K.
    Text steganography is hiding text in text. A hidden text gets hidden in a cover text to produce a plain looking stego text. This plain looking stego text is posted as the message which no one suspects to contain anything concealed. Today, text messages are a common mode of communication over the internet and it is associated with a huge amount of traffic. Steganography is an added layer of protection that can be used for security and privacy. In this paper, we describe a text steganography approach that provides a good capacity and maintains a high difficulty of decryption. We make use of approaches of space manipulation, linguistic translation and Unicode homoglyphs in our algorithm. Our implementation is in Python. Also, we explain a parallel approach for hiding large hidden text messages in large cover text messages. © Springer International Publishing Switzerland 2015.