caa a22 4500 606205764 CHVBK 20210128101008.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00034-015-0007-7 doi (NATIONALLICENCE)springer-10.1007/s00034-015-0007-7 Steganalysis of SS Steganography: Hidden Data Identification and Extraction [Elektronische Daten] [Ming Li, Qian Liu] We consider the problem of steganalysis of multi-carrier spread-spectrum steganography in which secret data are embedded over a wide band in a spectrum (transform) domain of a digital medium. The objective is first to identify the presence or absence of hidden data in a given image (i.e., passive steganalysis). Unlike conventional feature-based passive steganalysis algorithms, we describe an unsupervised (blind) low-complexity approach based on iterative generalized least-squares principles that may enable rapid high-volume image processing. Extensive experiments on image sets and comparisons with existing passive steganalysis techniques demonstrate most satisfactory classification performance measured in probability of correct detection versus induced false alarm rate. If the existence of hidden data is identified, we then aim to detect the number of carriers (messages) and blindly extract the hidden data without the knowledge of the original host nor the embedding carriers. This task is also known as active/forensic steganalysis. 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. Springer Science+Business Media New York, 2015 Blind detection nationallicence Covert communications nationallicence Data hiding nationallicence Spread-spectrum embedding nationallicence Steganalysis nationallicence Steganography nationallicence Li Ming School of Information and Communication Engineering, Dalian University of Technology, 116024, Dalian, Liaoning, China aut Liu Qian Department of Computer Science and Engineering, State University of New York at Buffalo, 14228, Buffalo, NY, USA aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/10(2015-10-01), 3305-3324 0278-081X 34:10<3305 2015 34 34 https://doi.org/10.1007/s00034-015-0007-7 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-0007-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Ming School of Information and Communication Engineering, Dalian University of Technology, 116024, Dalian, Liaoning, China aut NATIONALLICENCE 700 1- Liu Qian Department of Computer Science and Engineering, State University of New York at Buffalo, 14228, Buffalo, NY, USA aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/10(2015-10-01), 3305-3324 0278-081X 34:10<3305 2015 34 34