DocumentCode :
603187
Title :
Information hiding in gray scale images using pseudo-randomized visual cryptography algorithm for visual information security
Author :
Babu, Ch Ratna ; Sridhar, M. ; Babu, B. Ramesh
Author_Institution :
Dept. of C.S.E, R.V.R. & J.C Coll. of Eng., Guntur, India
fYear :
2013
fDate :
9-10 March 2013
Firstpage :
195
Lastpage :
199
Abstract :
Security has gained a lot of importance as information technology is widely used. Cryptography refers to the study of mathematical techniques and related aspects of Information Security like data confidentiality, data Integrity, and of data authentication. Visual cryptography (VC) is a process where a secret image is encrypted into shares which refuse to divulge information about the original secret image. Its strength is a fact that the decryption of the secret image is through human visual system without computation. A basic model for visual cryptography for natural images was proposed by Naor and Shamir. In this paper, a novel method of VC is presented for halftone images which represent the resultant image in the same size as the original secret image. Hiding of the visual information based on pseudo randomization and pixel reversal is also proposed.
Keywords :
cryptography; data integrity; image colour analysis; message authentication; natural scenes; random processes; data authentication; data confidentiality; data integrity; decryption; divulge information; gray scale images; human visual system; information technology; mathematical techniques; natural images; pixel reversal; pseudo randomization; pseudo-randomized visual cryptography algorithm; secret image; visual information hiding; visual information security; Encryption; Information security; Silicon; Stacking; Visualization; Halftone image; Information Security; Information hiding; Secret share; Visual cryptography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Systems and Computer Networks (ISCON), 2013 International Conference on
Conference_Location :
Mathura
Print_ISBN :
978-1-4673-5987-0
Type :
conf
DOI :
10.1109/ICISCON.2013.6524202
Filename :
6524202
Link To Document :
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