Study on Universal Steganalysis for BMP Images based on Multi-domain Features

被引:1
|
作者
Yan, Yan [1 ]
Li, Liting [1 ]
Xue, Jianbin [1 ]
Liu, Hongguo [1 ]
Zhang, Qiuyu [1 ]
机构
[1] Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China
关键词
steganalysis; gradient energy difference; deviation of difference; low embedding rates;
D O I
10.4028/www.scientific.net/AMM.278-280.1906
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Steganslysis is an important research issue in information security. Aimed at the most commonly used cover media, digital images, the paper proposed a new method of universal steganalysis method based on multi-domain features. Features were extracted from spatial domain and DWT domain to overcome the drawbacks of steganslysis algorithm for specific steganography, such as high complexity and low correct detecting ratio. Experiment results show that the proposed algorithm can solve the low detecting problem and achieve a better reliability on low embedding rates.
引用
收藏
页码:1906 / 1909
页数:4
相关论文
共 50 条
  • [1] Blind JPEG Steganalysis Using Features Derived From Multi-domain
    Yu, Wenqiong
    Li, Zhuo
    Ping, Lingdi
    [J]. INTELLIGENT STRUCTURE AND VIBRATION CONTROL, PTS 1 AND 2, 2011, 50-51 : 693 - +
  • [2] Joint multi-domain feature learning for image steganalysis based on CNN
    Wang, Ze
    Chen, Mingzhi
    Yang, Yu
    Lei, Min
    Dong, Zhexuan
    [J]. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2020, 2020 (01)
  • [3] Joint multi-domain feature learning for image steganalysis based on CNN
    Wang, Ze
    Chen, Mingzhi
    Yang, Yu
    Lei, Min
    Dong, Zhexuan
    [J]. Eurasip Journal on Image and Video Processing, 2020, 2020 (01):
  • [4] Joint multi-domain feature learning for image steganalysis based on CNN
    Ze Wang
    Mingzhi Chen
    Yu Yang
    Min Lei
    Zhexuan Dong
    [J]. EURASIP Journal on Image and Video Processing, 2020
  • [5] Steganalysis of AMR Speech Stream Based on Multi-Domain Information Fusion
    Guo, Chuanpeng
    Yang, Wei
    Huang, Liusheng
    [J]. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2024, 32 : 4077 - 4090
  • [6] Manipulation Classification for JPEG Images Using Multi-Domain Features
    Yu, In-Jae
    Nam, Seung-Hun
    Ahn, Wonhyuk
    Kwon, Myung-Joon
    Lee, Heung-Kyu
    [J]. IEEE ACCESS, 2020, 8 : 210837 - 210854
  • [7] Manipulation Classification for JPEG Images Using Multi-Domain Features
    Yu, In-Jae
    Nam, Seung-Hun
    Ahn, Wonhyuk
    Kwon, Myung-Joon
    Lee, Heung-Kyu
    [J]. IEEE Access, 2020, 8 : 210837 - 210854
  • [8] Textural features based universal steganalysis
    Li, Bin
    Huang, Jiwu
    Shi, Yun Q.
    [J]. SECURITY, FORENSICS, STEGANOGRAPHY, AND WATERMARKING OF MULTIMEDIA CONTENTS X, 2008, 6819
  • [9] Power disturbance identification research based on multi-domain features
    Zhang, Zhenyu
    Zhang, Minglong
    Gao, Yuan
    Luo, Xiang
    Zhu, Ke
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (22): : 137 - 144
  • [10] Heart Sounds Classification Based on Xgboost and Multi-domain Features
    Li, Ting
    Chen, Xingrong
    Zhou, Lin
    Zhu, Hanxia
    Sun, Fuming
    [J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 127 : 9 - 10