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A Proposed Artificial Neural Network (ANN) Model Using Geophone Sensors to Detect Elephants Near the Railway Tracks Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Multiple Information Hiding in General Access Structure Visual Cryptography Using Q’tron Neural Network

Authors : Sandeep Gurung, Mrinaldeep Chakravorty

Published in: Advanced Computational and Communication Paradigms

Publisher: Springer Singapore

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Abstract

With the advent of the widespread use of Internet for communication, there is an increase in exchange of personal secured information via the Internet wherein a large variety of sensitive information is exchanged between the end users which affect the privacy and safety of the data during storage and communication. Visual cryptography, an example of a secret sharing scheme encrypts the secret digital information into a number of shares wherein the decryption is performed by overlaying the shares generated and by utilizing the HVS (Human Visual System). General access structures efficiently hides the data by defining an access structure of qualified sets which only can produce the hidden information. Since no transmission is noise free, quantum neural network is used to extract the original information even when the information is not clearly visible to the human eye. The paper proposes a methodology to conceal multiple secret in a pair of shares and the Q’tron network to improve the security of information systems.

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Metadata
Title
Multiple Information Hiding in General Access Structure Visual Cryptography Using Q’tron Neural Network
Authors
Sandeep Gurung
Mrinaldeep Chakravorty
Copyright Year
2018
Publisher
Springer Singapore
Book
Advanced Computational and Communication Paradigms

Print ISBN: 978-981-10-8236-8

Electronic ISBN: 978-981-10-8237-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-8237-5_37