Determining the stego algorithm for JPEG images | Zendy

Tomáš Pevný | Zendy; Jessica Fridrich | Zendy

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Determining the stego algorithm for JPEG images

Author(s) -

Tomáš Pevný,

Jessica Fridrich

Publication year - 2006

Publication title -

iee proceedings. information security

Language(s) - English

Resource type - Journals

eISSN - 1747-0730

pISSN - 1747-0722

DOI - 10.1049/ip-ifs:20055147

Subject(s) - steganalysis , steganography , jpeg , discrete cosine transform , computer science , artificial intelligence , information hiding , pattern recognition (psychology) , embedding , luminance , feature (linguistics) , construct (python library) , computer vision , support vector machine , image (mathematics) , algorithm , linguistics , philosophy , programming language

The goal of Forensic Steganalysis is to detect the presence of embedded,data and eventually extract the secret message. A necessary step toward extracting the data is determining the steganographic algorithm used to embed the data. In this paper, we construct blind classifiers capable of detecting steganography in JPEG images and assigning stego images to 6 popular JPEG embedding algorithms. The classifiers are support vector machines that use 23 calibrated DCT feature calculated from the luminance component.

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