Secure Information Transmission using Steganography and Morphological Associative Memory

Nazari, Sara; Eftekhari, Amir-masoud; Moin, Mohammad Shahram

doi:10.5120/9940-4572

Cited by 8 publications

(8 citation statements)

References 18 publications

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“…Peak signal to noise ratio of the proposed and existing steganography algorithms for test images "Lena", "Peppers", "Cameraman," and "House". Morphological steganography [25] Proposed method WBS BBS WBS BBS 2000 59 58 44 45 39 41 5000 63 64 49 51 42 46 10000 62 66 56 59 48 51 WBS, wavelet-based steganalysis; BBS, block-based steganalysis.…”

Section: Discussionmentioning

confidence: 99%

“…Then, the modified image is inversely transformed to its original domain. In this category, the most frequent transforms are discrete cosine transform (DCT) [2,[9][10][11][12][13][14], discrete Fourier transform [15,16], discrete wavelet transform (DWT) [17][18][19], discrete contourlet transform [20][21][22], and morphology transform [5][6][7][23][24][25]. Because JPEG compression uses DCT transform, embedding in DCT domain is very famous.…”

Section: Related Workmentioning

confidence: 99%

“…In this method, the best cover is first selected on the basis of textural features, and then the secret message is embedded in the contourlet coefficients. In , authors introduced a method based on MAM by inserting a secret message into the morphological coefficients.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, the new proposed algorithm creates a stego with little distortion, low detectability, and high robustness against visual and statistical attacks. To evaluate the performance of our method, we compared it with F5 , and morphological steganography , using the same message to be embedded into cover. The results showed that the proposed algorithm possesses higher quality in stego image.…”

Section: Introductionmentioning

confidence: 99%

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A novel image steganography scheme based on morphological associative memory and permutation schema

Nazari

Moghadam

Moin

2014

Security Comm Networks

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Steganography is the art and science of hiding a message in a carrier, in such a manner that no one, except the sender and intended recipient, can guess the existence of the message; it is a form of security through obscurity. Often, steganography algorithms using discrete cosine transform are detectable through steganalysis attacks. To reduce detectability of the stego, we propose an image steganography algorithm in transform domain based on morphological associative memory, permutation approach, and matrix encoding. In our proposed algorithm, in order to insert a secret message in the cover image, first, we map the cover image to a morphological representation containing morphological coefficients, and then bits of secret message are inserted into the image by permutation approach and matrix encoding. Permutation approach leads to unique distribution of secret message in the carrier, and the use of matrix encoding minimizes the number of coefficients needed to be changed because of inserting secret message. In our experiments, we compared the quality of stego, time complexity, and robustness of our method with state‐of‐art image steganography algorithms (F5 and morphological steganography) with an equal payload. The experimental results showed that the proposed method is able to produce insignificant visual distortion compared with other traditional approaches. To test the robustness of our proposed algorithm, we used wavelet‐based and block‐based steganalysis methods. The obtained results showed a high level of robustness of our algorithm against steganalysis attacks. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel image steganography scheme based on morphological associative memory and permutation schema

Nazari

Moghadam

Moin

2014

Security Comm Networks

Self Cite

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“…There are two common techniques of embedding in image steganography; spatial domain and transform domain [5].According to spatial domain, the secret data or secret message has directly embedded into the LSBs (Least Significant Bit) of image pixels. One of the most known examples of spatial domain method is LSB insertion [6].…”

Section: Introductionmentioning

confidence: 99%

An Improved Image Steganography Method Based on LSB Technique with Random Pixel Selection

Marwa¹,

Abdelmgeid²,

Fatma³

2016

ijacsa

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Abstract-with the rapid advance in digital network, information technology, digital libraries, and particularly World Wide Web services, many kinds of information could be retrieved any time. Thus, the security issue has become one of the most significant problems for distributing new information. It is necessary to protect this information while passing over insecure channels. Steganography introduces a strongly approach to hide the secret data in an appropriate media carriers such as images, audio files, text files, and video files. In this paper, a new image steganography method based on spatial domain is proposed. According to the proposed method, the secret message is embedded randomly in the pixel location of the cover image using Pseudo Random Number Generator (PRNG) of each pixel value of the cover image instead of embedding sequentially in the pixels of the cover image. This randomization is expected to increase the security of the system. The proposed method works with two layers (Blue and Green), as (2-1-2) layer, and the byte of the message will be embedded in three pixels only in this form (3-2-3). From the experimental results, it has found that the proposed method achieves a very high Maximum Hiding Capacity (MHC), and higher visual quality as indicated by the Peak Signal-to-Noise Ratio (PSNR).

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A Secure Steganography Model Using Random-Bit Select Algorithm

Gahan

Devanagavi

2020

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)

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Communication does the exchange of information from one point to another point. Recent developments in internet has benefited the user to send any amount of data to any remote place in the world. The User is having the privileges of high data rate, remote connectivity and access but there is lack of data confidentiality. Hence Data security acts as a critical role in data communication. Two techniques that provide data security they are Cryptography and Steganography. This paper intends to give a secure steganography model using Random-Bit Select algorithm. The secret message is embedded into the carrier called as cover image based on randomly generated numbers and how many amount of bits to be replaced in each pixel can be governed through the user, so that user can define the stego image resolution based on the situation. The algorithm also provides security key which helps with dual level security and embedding the message in cover image randomly.

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Secure Information Transmission using Steganography and Morphological Associative Memory

Cited by 8 publications

References 18 publications

A novel image steganography scheme based on morphological associative memory and permutation schema

A novel image steganography scheme based on morphological associative memory and permutation schema

An Improved Image Steganography Method Based on LSB Technique with Random Pixel Selection

A Secure Steganography Model Using Random-Bit Select Algorithm

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