Info Hide – A Cluster Cover Approach

Amirtharajan, Rengarajan; Nathella, Krishnendra; Harish, J

doi:10.5120/730-1023

Cited by 8 publications

(10 citation statements)

References 17 publications

(12 reference statements)

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“…This towering need for maintaining secrecy of critical information has given rise to several subclasses of information hiding techniques namely steganography, cryptography and watermarking techniques. Steganography is the art of camouflaging the vital information in a cover object in such a way that its very existence is concealed where the cover object may be Audio, Video or An Image [7,8,11]. In cryptography [10], although the presence of information is conspicuous the code is indecipherable as it is sent in an inscrutable format.…”

Section: Introductionmentioning

confidence: 99%

Security Building at the Line of Control for Image Stego

Rengarajan¹,

Amirtharajan²,

Bose³

et al. 2010

IJCA

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Security has virtually become an indispensable non-functional requirement for any technology that deals with data. Traditional methods of imparting security using encryption have given away themselves long ago to cryptanalytic ventures. A different method of secure data transfer without revealing the mere existence of secret, called Steganography is a promising technique to ensure security. This technique camouflages secret data into a casual cover image, without affecting its visually perceived quality. This paper proposes a novel technique, which is a hybrid of cryptography, edge detection and steganography. By differentially embedding secret data into edges and smooth pixels of cover image, so that edge pixels and smooth pixels have data with different encryptions, the cryptic effect can be boosted to a greater limit, making the unauthorized extraction of secret data impossible.

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Section: Introductionmentioning

confidence: 99%

Security Building at the Line of Control for Image Stego

Rengarajan¹,

Amirtharajan²,

Bose³

et al. 2010

IJCA

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“…Steganography and cryptography are both ways to protect information from unwanted parties but neither technology alone is perfect and can be compromised. Steganography is implemented [7,9,13,14,15] in digital audio, video and images of which image steganography has gained much impetus and reputation in the recent past. In image steganography the critical data is camouflaged in a cover image with immense dexterity resulting in the stego image.…”

Section: Introductionmentioning

confidence: 99%

Optimum Pixel and Bit location for Colour Image Stego- A Distortion Resistant Approach

Rengarajan¹,

Aishwarya²,

Rameshbabu³

et al. 2010

IJCA

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A conventional Secret key Steganography scheme focuses mainly to reduce the distortion when secret information is embedded into the cover image. On the other hand, the transmitted images may be compressed or faces transmitting errors. If such errors occur, the receiver cannot extract the correct information from the stegoimage. Furthermore the three main attributes of steganography are capacity, invisibility and Robustness. In the previous models [3, 4] we mainly concentrated on capacity and invisibility but in this method equal importance will be given to robustness. To increase the stochasticity of information hiding we use pixel indicator techniques which are implemented using three methods. Among these the first method enjoins that red channel steers the other two channels and the second method gives us the liberty to select the steering channel which successively increases the robustness of the shrouded message but its limits when MSE is considered. In third method, the steering channel is selected in a cyclic mode which enhances further the capacity along with security of the shrouded message as the MSE gets equally distributed. To increase the robustness here we introduce a factor E which gives us an option to select the position to plant the message to be concealed. The factor E addresses the bit where the embedding can be started. Once an image is compressed the LSBs of the covered media will get affected which defiles the concealed message. The essence of this method rests in the withstanding capability of the carrier media as the factor E is altered. As the value of E increases the MSE gets stepped up and hence the imperceptibility of the carrier image gets diluted. This can be heightened by using Optimal Pixel Adjustment Process (OPAP). General Terms Information Security KeywordsModified LSB, Optimal Pixel Adjustment Process (OPAP), Pixel Indicator(PI). Method 3: Embedding Algorithm: Inputs :Secret Data(S), Cover Image (I), Key D for DES No of secret bits embedded per pixel k∈{1,2,3,4} Key W for Modified LSB embedding W∈{1,2,3,4} Output: Stego image (O) with secret data embedded in it.

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“…Traditionally information hiding schemes embed data into image, audio, video etc [1,2,3]. These kinds of schemes are called water marking.…”

Section: Introductionmentioning

confidence: 99%

“…This is used for the purpose of copyright protection, authentication and authorized access control [3]. Water marking schemes [3] have been proposed in spatial [1,2,3] and spectral domain [3]. Spatial domain based texture characteristic methods are easily implemented but have worse performance than the spectral domain based methods, that usually embed into the DCT and DWT [5] coefficients.…”

Section: Introductionmentioning

confidence: 99%

Multi Carrier Steg against Omni Attacks

Amirtharajan¹,

Thenmozhi²,

Balaguru³

2010

IJCA

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Information is considered as the most valuable resource in today's data-centric world. In recent times there has been a prodigious growth in information transmission. Parallel to it the data hiding techniques have also developed to sustain information authentication and confidentiality. Traditionally data was hidden in covers such as text, images and audio. But, all these enclosed the data before transmission, thereby creating a necessary evil of time lag between information origination and information transmission. This paper proposes a novel steganographic methodology to overcome the drawback with the help of modern multiplexing technology. Here the physical layer of the Orthogonal Frequency Division Multiplexing (OFDM) is used to embed data. Observations are made by testing this methodology along with Additive white Gaussian Noise and random noise. The experimental results validate the superiority of this data hiding scheme, while retaining the normal functionality of the OFDM technique. This just-in-time data hiding method works well in random noise channel and AWGN channel and the result are presented. General TermsInformation Security.

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Info Hide – A Cluster Cover Approach

Cited by 8 publications

References 17 publications

Security Building at the Line of Control for Image Stego

Security Building at the Line of Control for Image Stego

Optimum Pixel and Bit location for Colour Image Stego- A Distortion Resistant Approach

Multi Carrier Steg against Omni Attacks

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