Hidden Data Transmission during Organizations Interaction

Никишова, Арина Валерьевна; M.Yu, Umnitsyn; Omelchenko, Tatiana

doi:10.1109/fareastcon.2019.8934218

Cited by 2 publications

(1 citation statement)

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“…Several studies have shown that image steganography ensures integrity and confidentiality but is not resistant to statistical attacks [8], [9], [13]. This work investigates specifically Joint Photographics Experts Group (JPEG) because (i) it is the popular image format in the web [14] and (2) it performs better concerning security compared to all other image formats [15] has good compression characteristics resistant to attacks.…”

Section: Introductionmentioning

confidence: 99%

An Efficient DCT-SVD Steganographic Approach Applied to JPEG Images

Tchakounté¹,

Kamdem²,

Kamgang³

et al. 2020

EAI Endorsed Transactions on Industrial Networks and Intelligen

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To prove the origin of images in social media, this work proposes an efficient JPEG image steganography approach. After structuring the cover image into blocks of 8*8 pixels, Discrete Cosine Transform is applied to each block of pixels. The latter are quantified using a quantization table and a matrix of DC coefficients from quantized blocks of pixels, is obtained. Singular Value Decomposition is applied to the previous matrix and the secret message is inserted within singular vectors. For extraction purposes, previous transformations are followed reversely. An experimentation is made on seven images and results show that the proposed system outperforms similar studies in three aspects (i) it preserves stego image quality with PSNR of stego images varying between 38 and 54 (ii) it is able to insert a secret message of 257600 bits with the capacity of 4 bits per pixel (iii) it is robust and resistant to attacks such as histogram analysis and chi-square test.

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