Steganalysis of boundary-based steganography using autoregressive model of digital boundaries

Author

Jiang, M. ; Wu, X. ; Wong, E.K. ; Memon, N.

Author_Institution

Dept. of Comput. & Inf. Sci., Polytech. Univ., Brooklyn, NY

Volume

2

fYear

2004

fDate

30-30 June 2004

Firstpage

883

Abstract

In this paper, we present a novel technique for the steganalysis of digital documents, when the secret message is embedded along the boundaries of text characters or other symbols in the documents. The proposed technique uses an auto-regressive model to detect marked documents, as well as to estimate the relative length of the embedded messages. Experimental results demonstrate the effectiveness and accuracy of the proposed technique

Keywords

autoregressive processes; cryptography; data encapsulation; document image processing; text analysis; auto-regressive model; autoregressive digital boundaries model; boundary-based steganography; digital documents; embedded secret message; marked document detection; relative embedded message length estimation; steganalysis; symbol boundaries; text character boundaries; Counting circuits; Data encapsulation; Embedded computing; Information science; Optical noise; Protection; Quantization; Steganography; Terrorism; Watermarking;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-8603-5

Type

conf

DOI

10.1109/ICME.2004.1394342

Filename

1394342