NDLI: A novel chaotic approach for information hiding in image

Content Provider	Springer Nature Link
Author	Farschi, Seyyed Mohammad Reza Farschi, H.
Copyright Year	2012
Abstract	Hiding information in image has been proposed as a methodology for transmitting messages through innocuous covers to conceal their existence. This work investigates current state-of-the-art methods and provides a new and efficient approach to digital image steganography. We proposed an asymmetric image steganographic method based on a chaotic dynamic system. The hidden message can be recovered using orbits different from the embedding orbits, and the original image is not required to extract the hidden message. In the real communication, the receiver can use the same system as well as retrieving the data back that has been hidden inside the image. However, a secret key is needed by the receiver in order to retrieve the data back. This secret key is generated to use the proposed algorithm during the process of hiding the data. In contrast to current method, by using the secret key to retrieve the data, it maintains privacy, confidentiality, and accuracy of the data. The experimental results on USC data base demonstrates that the proposed encryption algorithm has a low time complexity and has the advantages of large key space and high security. In addition, the discussions reveal that the proposed scheme possesses security, imperceptibility, and survivability. The results are promising and point to the advocacy and coherence of the developed algorithm.
Starting Page	1525
Ending Page	1539
Page Count	15
File Format	PDF
ISSN	0924090X
Journal	Nonlinear Dynamics
Volume Number	69
Issue Number	4
e-ISSN	1573269X
Language	English
Publisher	Springer Netherlands
Publisher Date	2012-03-10
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Chaos encryption Image hiding technology Secret key Image processing Automotive Engineering Mechanics Mechanical Engineering Vibration, Dynamical Systems, Control
Content Type	Text
Resource Type	Article
Subject	Ocean Engineering Applied Mathematics Control and Systems Engineering Mechanical Engineering Electrical and Electronic Engineering Aerospace Engineering

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