JSW 2010 Vol.5(11): 1256-1261 ISSN: 1796-217X
doi: 10.4304/jsw.5.11.1256-1261
doi: 10.4304/jsw.5.11.1256-1261
Analysis and Study of Embedded Capability to HSBH by SPA
Yuanzhi Wang1, Liwei Chen2, Fei Zhang1, Shanhe Jiang3, Lijuan Sun4
1School of Computer and Information,Anqing Normal College,Anhui,China
2College of the Computer Science and Technology, Southwest University of S&T,Sichuan,China
3School of Physics and Electric Engineering, Anqing Normal College, Anhui,China
4College of Computer, Harbin University of Science and Technology, HeiLongJiang,China
Abstract—Steganography of SPA is one of the important research subjects in the field of information security. And HSBH is an effective image hiding algorithm. It proves that SPA can detect HSBH algorithm in theory and experiment. This method not only can detect the existence of messages embedded by sequential or random replacement, but also can estimate the hiding capability. Experimental results show that the correct rate of detection is above 95% when the embedding rate p>3%.
Index Terms—steganography, LSB, HSBH,SPA.
2College of the Computer Science and Technology, Southwest University of S&T,Sichuan,China
3School of Physics and Electric Engineering, Anqing Normal College, Anhui,China
4College of Computer, Harbin University of Science and Technology, HeiLongJiang,China
Abstract—Steganography of SPA is one of the important research subjects in the field of information security. And HSBH is an effective image hiding algorithm. It proves that SPA can detect HSBH algorithm in theory and experiment. This method not only can detect the existence of messages embedded by sequential or random replacement, but also can estimate the hiding capability. Experimental results show that the correct rate of detection is above 95% when the embedding rate p>3%.
Index Terms—steganography, LSB, HSBH,SPA.
Cite: Yuanzhi Wang, Liwei Chen, Fei Zhang, Shanhe Jiang, Lijuan Sun, "Analysis and Study of Embedded Capability to HSBH by SPA," Journal of Software vol. 5, no. 11, pp. 1256-1261, 2010.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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