View in EDS PDF Full Text

Digital image steganalysis based on the reciprocal singular value curve.

Saved in:
Bibliographic Details
Title: Digital image steganalysis based on the reciprocal singular value curve.
Authors: Nouri, Roya1 std_roya_nouri@khu.ac.ir, Mansouri, Azadeh1 a_mansouri@khu.ac.ir
Source: Multimedia Tools & Applications. Mar2017, Vol. 76 Issue 6, p8745-8756. 12p.
Subjects: Easter eggs (Computer programs), Cryptography, JPEG (Image coding standard), Topological embeddings, Noise
Abstract: Embedding secret messages in steganographic approaches is similar to adding some weak noises to the original media. One of the traditional ways for image steganalysis is computing a feature sets using noise residuals. From another perspective, the disturbance of natural image statistics can be explored to extract the feature vector for steganalysis. In fact, the alteration of natural scene statistics can be investigated to reveal the presence of secret messages embedded in images. Hence, the feature vectors can be constructed using such changes. In the proposed scheme, the alteration of singular value curve is used to construct the steganalysis feature vector. Two spatial and JPEG based feature vectors are extracted in the proposed statistical exploitation. The experimental results illustrate the acceptable performance of the proposed feature vectors for both universal and JPEG based steganalysis methods. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 122141645
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Digital image steganalysis based on the reciprocal singular value curve.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Nouri%2C+Roya%22">Nouri, Roya</searchLink><relatesTo>1</relatesTo><i> std_roya_nouri@khu.ac.ir</i><br /><searchLink fieldCode="AR" term="%22Mansouri%2C+Azadeh%22">Mansouri, Azadeh</searchLink><relatesTo>1</relatesTo><i> a_mansouri@khu.ac.ir</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Mar2017, Vol. 76 Issue 6, p8745-8756. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Easter+eggs+%28Computer+programs%29%22">Easter eggs (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Cryptography%22">Cryptography</searchLink><br /><searchLink fieldCode="DE" term="%22JPEG+%28Image+coding+standard%29%22">JPEG (Image coding standard)</searchLink><br /><searchLink fieldCode="DE" term="%22Topological+embeddings%22">Topological embeddings</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Embedding secret messages in steganographic approaches is similar to adding some weak noises to the original media. One of the traditional ways for image steganalysis is computing a feature sets using noise residuals. From another perspective, the disturbance of natural image statistics can be explored to extract the feature vector for steganalysis. In fact, the alteration of natural scene statistics can be investigated to reveal the presence of secret messages embedded in images. Hence, the feature vectors can be constructed using such changes. In the proposed scheme, the alteration of singular value curve is used to construct the steganalysis feature vector. Two spatial and JPEG based feature vectors are extracted in the proposed statistical exploitation. The experimental results illustrate the acceptable performance of the proposed feature vectors for both universal and JPEG based steganalysis methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=122141645
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11042-016-3507-y
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 8745
    Subjects:
      – SubjectFull: Easter eggs (Computer programs)
        Type: general
      – SubjectFull: Cryptography
        Type: general
      – SubjectFull: JPEG (Image coding standard)
        Type: general
      – SubjectFull: Topological embeddings
        Type: general
      – SubjectFull: Noise
        Type: general
    Titles:
      – TitleFull: Digital image steganalysis based on the reciprocal singular value curve.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Nouri, Roya
      – PersonEntity:
          Name:
            NameFull: Mansouri, Azadeh
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 03
              Text: Mar2017
              Type: published
              Y: 2017
          Identifiers:
            – Type: issn-print
              Value: 13807501
          Numbering:
            – Type: volume
              Value: 76
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Multimedia Tools & Applications
              Type: main
ResultId 1