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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 2
557-562,576

Adaptive high capacity steganography algorithm for noisy images

Kong Shuiling1
Zhao Yan1,2
Zhao Jiaqi1
1. College of Electronics & Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China
2. Guangxi Normal University, Guangxi Key Laboratory of Multi-Source Information Mining & Security, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2021.07.0275

Abstract

This paper proposed a bit-plane encryption algorithm using noise adaptive embedding for noisy images such as radar and remote sensing images. Firstly, the algorithm adaptively found the best embedding threshold in different noisy images using genetic algorithm, and used an encryption algorithm that did not require a secret key at higher noise values to cross-embed two pieces of secret information into the first and in the three-dimensional plane. Then it used the BBE algorithm to compress the flag bit data to the second bit plane. Finally, it used the same encryption algorithm to embed the remaining secret information into the second and fourth bit planes to complete information hiding at the second bit plane redundancy. Experimental analysis shows that under the condition of satisfying high-capacity embedding, compared with other adaptive bit-plane steganography algorithms, it has better concealment and stronger robustness, and at the same time, it can resist the current better steganalysis algorithms to ensure security of data transmission.

Foundation Support

国家自然科学基金资助项目(61802250)
上海市科委地方院校能力建设项目(20020500700)
广西多源信息挖掘与安全重点实验室开放基金资助项目(MIMS18-04)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0275
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 2
Section: Technology of Information Security
Pages: 557-562,576
Serial Number: 1001-3695(2022)02-040-0557-06

Publish History

[2021-09-23] Accepted Paper
[2022-02-05] Printed Article

Cite This Article

孔水玲, 赵琰, 赵嘉琪. 面向噪声图像的自适应高容量隐写算法 [J]. 计算机应用研究, 2022, 39 (2): 557-562,576. (Kong Shuiling, Zhao Yan, Zhao Jiaqi. Adaptive high capacity steganography algorithm for noisy images [J]. Application Research of Computers, 2022, 39 (2): 557-562,576. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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