Steganography content detection by means of feedforward neural network. (1st January 2013)
- Record Type:
- Journal Article
- Title:
- Steganography content detection by means of feedforward neural network. (1st January 2013)
- Main Title:
- Steganography content detection by means of feedforward neural network
- Authors:
- Oplatková, Zuzana Komínková
Hološka, Jiří
Šenkeřík, Roman - Abstract:
- This paper describes the technique for revealing of steganography content in images by means of feedforward neural network. The work is connected with cryptography for information encoding and additional method for information hiding, which is called steganography. The substance of the paper explains the principle of hidden information detection in images like JPEG format by means of feedforward neural network. The results show successful detection of four stego techniques by means of artificial neural network with one hidden layer.
- Is Part Of:
- International journal of innovative computing and applications. Volume 5:Number 3(2013)
- Journal:
- International journal of innovative computing and applications
- Issue:
- Volume 5:Number 3(2013)
- Issue Display:
- Volume 5, Issue 3 (2013)
- Year:
- 2013
- Volume:
- 5
- Issue:
- 3
- Issue Sort Value:
- 2013-0005-0003-0000
- Page Start:
- 184
- Page End:
- 190
- Publication Date:
- 2013-01-01
- Subjects:
- artificial neural networks -- ANNs -- detection -- steganalysis
Evolutionary computation -- Periodicals
Neural networks (Computer science) -- Periodicals
Genetic programming (Computer science) -- Periodicals
Biologically-inspired computing -- Periodicals
Swarm intelligence -- Periodicals
Quantum computers -- Periodicals
006.3 - Journal URLs:
- http://www.inderscience.com/browse/index.php?journalCODE=ijica ↗
http://www.inderscience.com/ ↗ - Languages:
- English
- ISSNs:
- 1751-648X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8689.xml