Saturday, 14 February 2015

EXTRACTING SPREAD SPECTRUM TRANSFORM DOMAIN EMBEDDING DATA FROM DIGITAL MEDIA



S.Kalaivani 1, R.Anitha 2
1PG Student STET Women’s college, mannargudi
2Professor of CS department, STET Women’s college, mannargudi

            Data hiding and extraction schemes are increasing in todays 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. In this project the blindly extraction technique is considered. Blindly extraction means the original host and the embedding. Cognitive radio technologies are being developed which allow heterogeneous systems to share spectrum access while minimizing interference to improve the overall efficiency of spectrum usage. Interference minimization requires cognitive radio receivers to be able to detect the presence of all other systems competing for spectrum usage, a process often termed "spectrum sensing". This paper focuses on the kernel function of spectrum sensing: blind interference detection from a single, strictly time-limited, received data vector. Recent research has identified shortcomings in the operation of classical blind interference detection techniques such as energy detection and radiometry. Information hiding technique is a new kind of secret communication technology. The majority of today’s information hiding systems uses multimedia objects like audio. Embedding secret messages in digital sound is usually a more difficult process.
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