Secure Spread Spectrum Data Embedding and Extraction

Vaibhav Dhore, Pathan Md. Arfat

Abstract: Embedding the secrete data into the digital media like image, video audio is rapidly growing technology from the commercial as well as national security perspective. From the past few years the only the presence of the embedded data intensively investigated which is called passive detection. While the active hidden data extraction is relatively new branch in research. This paper gives the survey of the methods for embedding the data using direct sequence spread spectrum technique and gives the method for blindly extracting the hidden data embedded over a wide band of spectrum or transformed domain of digital medium. To extract the hidden data blindly we have used the Multi Carrier Iterative Generalized Least square (M-IGLS) procedure to seek the unknown data hidden in the image host. Neither the original host nor the embedding carriers assumed available. Then to enhance the MIGLS we have used the Cross Correlation MIGLS (CC-MIGLS) procedure, which leads to most effective hidden message recovery by performing the statistical analysis of repeated independent MIGLS processing of the host.

Keywords: Steganalysis, steganography, data hiding, data embedding, cross correlation, blind detection, spread spectrum embedding, watermarking

How to Cite?: Vaibhav Dhore, Pathan Md. Arfat, "Secure Spread Spectrum Data Embedding and Extraction", Volume 4 Issue 1, January 2015, International Journal of Science and Research (IJSR), Pages: 743-747, https://www.ijsr.net/getabstract.php?paperid=SUB15291, DOI: https://dx.doi.org/10.21275/SUB15291