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author:

Zhong, S. (Zhong, S..) [1] (Scholars:钟尚平) | Lin, J. (Lin, J..) [2]

Indexed by:

Scopus PKU CSCD

Abstract:

Transductive support vector machine (TSVM) is a technology which starts with labeled samples and aims at recognizing and classifying the given unlabeled samples. In this paper, the feasibility of applying TSVM to universal image steganalysis was analyzed, and a universal steganalysis method for Gif image based on TSVM were proposed and implemented. The experimental results shown that, in the condition of few labeled samples and massive unlabeled samples, this method can achieves the approximate detecting effect of old method based on traditional inductive support vector machines. Thus, the model of universal steganalysis for Gif image based on TSVM is more practical.

Keyword:

Gif image; Information security; Transductive support vector machine (TSVM); Universal steganalysis

Community:

  • [ 1 ] [Zhong, S.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China
  • [ 2 ] [Lin, J.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China

Reprint 's Address:

  • 钟尚平

    [Zhong, S.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350002, China

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Source :

Journal of Beijing Jiaotong University

ISSN: 1673-0291

CN: 11-5258/U

Year: 2009

Issue: 2

Volume: 33

Page: 122-126

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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