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2018 | OriginalPaper | Buchkapitel

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

verfasst von : Sandeep Gurung, Mrinaldeep Chakravorty

Erschienen in: Advanced Computational and Communication Paradigms

Verlag: 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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Metadaten
Titel
Multiple Information Hiding in General Access Structure Visual Cryptography Using Q’tron Neural Network
verfasst von
Sandeep Gurung
Mrinaldeep Chakravorty
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-8237-5_37

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