Abstract
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
Highlights
Social media gain a large audience since they provide means of instant communication of various types of information [1]
The aim of this paper is to provide a steganographic system for Joint Photographics Experts Group (JPEG) images based on SVD insertion to simultaneously guarantee image quality, insertion capacity and robustness to attacks
The proposed approach is resilient to the χ2 test attack since it is based on SVD insertion, which is a technique that offers robustness against common attacks [25]
Summary
Social media gain a large audience since they provide means of instant communication of various types of information [1]. The proportion of social media users increased by 10 percent between 2019 and 2020, with 49 % of the global Internet population active on social media [2] This popularity makes it a place for malicious people enticed to misinform and deceive people [3,4,5,6]. They refer to social engineering techniques and illegal means to compromise information. The secret message is dissected and inserted into singular vectors. This process resists attacks which directly analyze images
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