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Number System Oriented Text Steganography in Various Language for Short Messages

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 775))

Abstract

Data and information leakage is one of the prevalent tribulations in today’s internet world during transfer. Traditional algorithms are not enough to hide data/information theft. This is the reason behind developing number system oriented text Steganography for short messages. This is the permutation of art and science appears as non existence of required data put out of sight. A novel method can be used to hide all the characters starting from A to Z, a to z, numeric like 0 to 9 and special characters where any language can take a part. This is possible to hide a message transmitting in the form of SMS, WhatsApp, Email or facebook messenger. An excellent blend of number of pairs shape words, numbers to hide information. This paper could be very much useful for developing application for concealing secret data/information for army, navy of air force for sake of saving motherland.

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Author information

Authors and Affiliations

  1. Budge Institute of Technology, Kolkata, WB, India

    Santanu Koley

  2. Mankar College, Mankar, WB, India

    Kunal Kumar Mandal

Authors
  1. Santanu Koley
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  2. Kunal Kumar Mandal
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Correspondence to Santanu Koley .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Koley, S., Mandal, K.K. (2017). Number System Oriented Text Steganography in Various Language for Short Messages. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 775. Springer, Singapore. https://doi.org/10.1007/978-981-10-6427-2_44

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  • DOI: https://doi.org/10.1007/978-981-10-6427-2_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6426-5

  • Online ISBN: 978-981-10-6427-2

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