Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 11
3365-3368

Zero-low-frequency information hiding algorithm based on local BRISK feature

Ren Shuai1a
He Yuan1a
Liu Yunong1b
Xu Zhenchao1a
Zhang Tao1b
Wang Zhen1a
Mu Dejun2
1. a. School of Information Engineering, b. School of Electronic & Control Engineering, Chang'an University, Xi'an 710064, China
2. College of Automation, Northwestern Polytechnical University, Xi'an 710072, China
DOI: 10.19734/j.issn.1001-3695.2018.06.0318

Abstract

Aiming at inferior anti-analysis of current information hiding algorithm, this paper proposed a zero-low-frequency information hiding algorithm based on local BRISK(binary robust invariant scalable keypoints) feature. First, it carried out first-order CL multi-wavelet transform for carrier image. Then it extracted BRISK feature points in the low-frequency LL2 to generate an image feature matrix. Second, it used zig-zag scrambling and logistic chaos scrambling for the secret image to decorrelate. Then, it associated the image feature with the encrypted information to form an association sequence by comparing feature values. Last, it would embed association sequence into lower three bits of high-frequency HL2 and HH2. The association information constructed by eigenmatrix of high energy region and encrypted information of two times was hidden in the high frequency region, which was beneficial to the robustness and anti-analysis of algorithm. Under the analysis of high-order statistics on 200 pictures, the maximum detection rate was less than 7.516%, which indicates that the proposed algorithm has good anti-analysis ability.

Foundation Support

国家自然科学基金资助项目(61702050,61402052)
国家级大学生创新创业训练计划资助项目(201610710036)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0318
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Technology of Information Security
Pages: 3365-3368
Serial Number: 1001-3695(2019)11-037-3365-04

Publish History

[2019-11-05] Printed Article

Cite This Article

任帅, 贺媛, 柳雨农, 等. 基于尺度不变局部特征的零低频信息隐藏算法 [J]. 计算机应用研究, 2019, 36 (11): 3365-3368. (Ren Shuai, He Yuan, Liu Yunong, et al. Zero-low-frequency information hiding algorithm based on local BRISK feature [J]. Application Research of Computers, 2019, 36 (11): 3365-3368. )

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  • 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.

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