Image Steganography Based on the Absolute Value of Adjacent Pixels,ERICDATA高等教育知識庫
高等教育出版
熱門: Qiaoyun Zhang  Scopus AI  Helong Xia  美国 通识教育计划  Semi-trusted loader  Zhi-Wei Sun  
高等教育出版
首頁 臺灣期刊 學校系所 學協會 民間出版 大陸/海外期刊 政府機關 學校系所 學協會 民間出版 DOI查詢服務 DOI註冊服務
閱讀全文
篇名
Image Steganography Based on the Absolute Value of Adjacent Pixels
並列篇名
Image Steganography Based on the Absolute Value of Adjacent Pixels
作者 Xiao-Ge Pan、Tian Yang、Ning Jia、Pan-Pan Zhao、Ming-Wei Tang
英文摘要
The development of the Internet has provided great convenience to people’s lives, but there are also many problems. Among them, the information security problem is particularly serious. As an important online and offline information communication medium in the Internet, Quick Response (QR) Code has also begun to stand out in the Internet field. This paper uses the combination of two-dimensional code and information hiding technology as the core of secure communication. This method makes use of the large amount of information encoded by the QR code and the high anti-fouling characteristic. Firstly, the secret message is encoded to improve the hidden capacity and the secret message is anti-offensive. Then, according to the image steganography technology of adjacent pixel to an absolute value (AVAP), the steganography of secret message is carried out by comparing with corresponding data bits to ensure the image quality. The experimental results show that compared with the existing LSB steganography methods, the steganographic images not only have better quality, but also have a higher payload. In addition, this method solves the security problem in the field of information hiding by implementing double encryption from the perspective of secret message and carrier.
起訖頁 013-024
關鍵詞 Image steganography、LSB、Information security、AVAP
刊名 電腦學刊  
期數 202108 (32:4期)
DOI 10.53106/199115992021083204002   複製DOI
QR Code
該期刊
上一篇
Topic Analysis in LDA Based on Keywords Selection
該期刊
下一篇
A Novel Data-Driven Rolling Force Predictive Model Based on PSO-BAS-HKSVR Approach

高等教育知識庫  新書優惠  教育研究月刊  Ericdata高等教育知識庫