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New statistical steganography method to hide information in image with high robustness against JPEG attack

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Title: New statistical steganography method to hide information in image with high robustness against JPEG attack

Authors: Mohammed Kamal, Hameed M. Abduljabbar

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 21

Language: English

Categories
Computer Science (14978) Robustness (5) Image Security (6) JPEG Attack (1) Steganography (38)

Abstract

New statistical steganography method (NSSM) to override or reduce the effect of JEPG attack on a cover image is presented in this work. The new method based on an analysis of the JPEG algorithm, in which it uses the value of the mean and the standard deviation of each cover blocks to embed the secret message, where the cover image blocks calculated in the same manner of the JPEG algorithm. Two standard images that differ in their amount of texture (Lena and The Baboon images) are used to test the new method; an analysis and discussion are presented for the results of applying this method which proved the validity of this method to override the JEPG attack.

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