Hiding and Extracting Secret Data from Digital Media

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)
 
© 2014 by IJCTT Journal
Volume-16 Number-2
Year of Publication : 2014
Authors : K.Bharath Kumar , Bhaludra Raveendranadh Singh , Mahesh Akuthota , Moligi Sangeetha

MLA

K.Bharath Kumar , Bhaludra Raveendranadh Singh , Mahesh Akuthota , Moligi Sangeetha. "Hiding and Extracting Secret Data from Digital Media ". International Journal of Computer Trends and Technology (IJCTT) V16(2):50-53, Oct 2014. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Extracting embedded data without understanding the analysis over a wide band in a spectrum domain of a digital medium like image, audio, and video and it considered a problem of active blind spread spectrum steganalysis and attempted to recover unknown messages hidden in image hosts via multi-signature spread spectrum embedding. Data hiding and extraction schemes are increasing in today’s communication world due to rapid increment of data tracking and tampering attacks. So we need an efficient and robust data hiding schemes to protect from these attacks. We develop a novel multicarrier / signature iterative generalized least-squares (M-IGLS) core procedure to find or to extract unknown data hidden in hosts via multicarrier spread spectrum embedding. In this we assumed that the original host and the embedding carriers are available. The extraction algorithm used to extract the hidden data from digital media and the proposed algorithm is a low complexity algorithm and it attains the probability of error recovery equals to known host and embedding carriers. Experimental studies on images show that the developed algorithm can achieve recovery probability of error close to what may be attained with known embedding carriers and host autocorrelation matrix.

References
1) Li, Member, IEEE, Michel Kulhandjian, Dimitris A. Pados, Member, IEEE, Stella N. Batalama, Senior Member, IEEE, and Michael J. Medley, Senior Member, IEEE, “Extracting Spread-Spectrum Hidden Data from Digital Media Ming” in IEEE Transactions On Secure Computing Vol:8 No:7 Year 2013.
2) Y.Singston Albert Dhas, D.Abisha “M-IGLS Based Extracting Hidden Data from Digital Media “ in International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Vol. 3, Issue 1, January 2014.
3) Heena Malik*, Sandeep Singh Kang Department of Computer Science Punjab Technical University India “Designing and Evaluation of Performance of a Spread Spectrum Technique for Audio Steganography“in International Journal of Advanced Research in Computer Science and Software Engineering 3(8), August - 2013, pp. 374-378.
4) Ming Li, Michel Kulhandjian, Dimitris A. Pados†, Stella N. Batalama Department of Electrical Engineering State University of New York at Buffalo “Extracting Spread-Spectrum Hidden Data from Digital Media” in IEEE Transactions on Image Processing.

Keywords
Data Tracking, Data Hiding, Steganography, Tampering, Blindly Extraction, Steganalysis Spread Spectrum Embedding.