An Experimental Analysis of Feature Based Blind Steganalysis Techniques
Swagota Bera1, Monisha Sharma2, Bikesh Singh3
1Swagota Bera, Department of Electronics & Telecommunication SSCET, Bhilai, Chhattisgarh, India.
2Monisha Sharma, Department of Electronics & Telecommunication SSCET, Bhilai, Chhattisgarh, India.
3Bhilai Bikesh Singh, Department of Bio-Medical Engineering NIT, Raipur, Chhattisgarh, India.
Manuscript received on 08 June 2019 | Revised Manuscript received on 13 June 2019 | Manuscript Published on 08 July 2019 | PP: 340-331 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H10880688S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Steganalysis is the finding of the hidden information in an image. Steganalysis is named as blind steganalysis if hidden data is searched without any restriction to any specific algorithm. Many research works has been done in this area for more than one decade. The detection algorithms are software tools mostly developed using MATLAB and C-language codes. Among the various approaches, feature extraction and classification based blind steganalysis is proved to be significant. This paper presents few well-known approaches among them.
Keywords: DCT, DWT, Steganography, Steganalysis, JPEG
Scope of the Article: Materials Engineering