The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Baru-baru ini, steganografi sedar saluran telah dipersembahkan untuk keselamatan yang tinggi. Algoritma pengesan selection-channel-aware (SCA) yang sepadan juga telah dicadangkan untuk meningkatkan prestasi pengesanan. Dalam makalah ini, kami mencadangkan algoritma pengesanan baru bagi steganografi JPEG, di mana kebarangkalian pembenaman dan penilaian blok disepadukan ke dalam kebarangkalian baharu. Kebarangkalian ini boleh merangkumi perubahan disebabkan oleh pembenaman data. Kami memilih penapis laluan tinggi yang sama seperti baki penapis lata kepelbagaian maksimum (MD-CFR) untuk mendapatkan sisa imej yang berbeza dan kaedah histogram berwajaran digunakan untuk mengekstrak ciri pengesanan. Keputusan eksperimen untuk mengesan dua kaedah steganografi tipikal menunjukkan bahawa kaedah yang dicadangkan boleh meningkatkan prestasi berbanding dengan kaedah terkini.
Weiwei LUO
Lanzhou Jiaotong University
Wenpeng ZHOU
Zhejiang Police Vocational Academy
Jinglong FANG
Hangzhou Dianzi University
Lingyan FAN
Hangzhou Dianzi University
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Salinan
Weiwei LUO, Wenpeng ZHOU, Jinglong FANG, Lingyan FAN, "JPEG Image Steganalysis Using Weight Allocation from Block Evaluation" in IEICE TRANSACTIONS on Information,
vol. E105-D, no. 1, pp. 180-183, January 2022, doi: 10.1587/transinf.2021EDL8058.
Abstract: Recently, channel-aware steganography has been presented for high security. The corresponding selection-channel-aware (SCA) detecting algorithms have also been proposed for improving the detection performance. In this paper, we propose a novel detecting algorithm of JPEG steganography, where the embedding probability and block evaluation are integrated into the new probability. This probability can embody the change due to data embedding. We choose the same high-pass filters as maximum diversity cascade filter residual (MD-CFR) to obtain different image residuals and a weighted histogram method is used to extract detection features. Experimental results on detecting two typical steganographic methods show that the proposed method can improve the performance compared with the state-of-art methods.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2021EDL8058/_p
Salinan
@ARTICLE{e105-d_1_180,
author={Weiwei LUO, Wenpeng ZHOU, Jinglong FANG, Lingyan FAN, },
journal={IEICE TRANSACTIONS on Information},
title={JPEG Image Steganalysis Using Weight Allocation from Block Evaluation},
year={2022},
volume={E105-D},
number={1},
pages={180-183},
abstract={Recently, channel-aware steganography has been presented for high security. The corresponding selection-channel-aware (SCA) detecting algorithms have also been proposed for improving the detection performance. In this paper, we propose a novel detecting algorithm of JPEG steganography, where the embedding probability and block evaluation are integrated into the new probability. This probability can embody the change due to data embedding. We choose the same high-pass filters as maximum diversity cascade filter residual (MD-CFR) to obtain different image residuals and a weighted histogram method is used to extract detection features. Experimental results on detecting two typical steganographic methods show that the proposed method can improve the performance compared with the state-of-art methods.},
keywords={},
doi={10.1587/transinf.2021EDL8058},
ISSN={1745-1361},
month={January},}
Salinan
TY - JOUR
TI - JPEG Image Steganalysis Using Weight Allocation from Block Evaluation
T2 - IEICE TRANSACTIONS on Information
SP - 180
EP - 183
AU - Weiwei LUO
AU - Wenpeng ZHOU
AU - Jinglong FANG
AU - Lingyan FAN
PY - 2022
DO - 10.1587/transinf.2021EDL8058
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E105-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2022
AB - Recently, channel-aware steganography has been presented for high security. The corresponding selection-channel-aware (SCA) detecting algorithms have also been proposed for improving the detection performance. In this paper, we propose a novel detecting algorithm of JPEG steganography, where the embedding probability and block evaluation are integrated into the new probability. This probability can embody the change due to data embedding. We choose the same high-pass filters as maximum diversity cascade filter residual (MD-CFR) to obtain different image residuals and a weighted histogram method is used to extract detection features. Experimental results on detecting two typical steganographic methods show that the proposed method can improve the performance compared with the state-of-art methods.
ER -