Transactions on Data Hiding and Multimedia Security VIII: by Hisham Al-Assam, Ali Abboud, Harin Sellahewa (auth.), Yun Q.

By Hisham Al-Assam, Ali Abboud, Harin Sellahewa (auth.), Yun Q. Shi, Stefan Katzenbeisser (eds.)

Since the mid Nineteen Nineties, facts hiding has been proposed as an allowing expertise for securing multimedia communique, and is now utilized in quite a few purposes together with broadcast tracking, motion picture fingerprinting, steganography, video indexing and retrieval, and photo authentication. information hiding and cryptographic recommendations are frequently mixed to enrich one another, therefore triggering the improvement of a brand new study box of multimedia protection. along with, similar disciplines, steganalysis and knowledge forensics, are more and more attracting researchers and changing into one other new study box of multimedia safety. This magazine, LNCS Transactions on information Hiding and Multimedia protection, goals to be a discussion board for all researchers in those rising fields, publishing either unique and archival study effects.
This specified factor includes 5 chosen papers that have been awarded on the Workshop on trend popularity for IT defense, held in Darmstadt, Germany, in September 2010, at the side of the thirty second Annual Symposium of the German organization for development acceptance, DAGM 2010. It demonstrates the huge diversity of security-related issues that make the most of graphical information. The contributions discover the protection and reliability of biometric information, the facility of computing device studying the right way to differentiate cast photographs from originals, the effectiveness of contemporary watermark embedding schemes and using info fusion in steganalysis.

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Extra info for Transactions on Data Hiding and Multimedia Security VIII: Special Issue on Pattern Recognition for IT Security

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Due to the low number of donors the separation into client and impostor groups was not done. All donors were considered as clients and the experiments were provided in a random attack mode. Any attempt of one client to be verified as another client is interpreted as an impostor trial. In order to be in conformity with a real-life scenario, the samples from the first session were used for enrollment. The samples from the second session were used for the tuning of the verification system and feature selection.

Identifiers of the employed model, device id, camera settings and the acquired motif are stored together with each image and enable to analyse features under selected constraints. 46 T. Gloe Altogether, 16,958 original images stored in the JPEG format at full resolution were analysed. Compared to previous work, where a small set of digital cameras (5 camera models) [15] or a small set of low resolution mobile-phone cameras (13 mobile-phone models with altogether 16 devices) [17] was investigated, the employed data set allows the evaluation of feature-based camera model identification under comprehensive settings.

5 ⋅  max ( f ijk ) + min ( f ijk )  k =1, S j  k =1, S j  (3) Next, these values are quantized in accordance with global quantization step δi, whereby e is the expansion factor of the individual quantization interval σij:  e ⋅ varij    δi   avg ij  wij =    δi  σ ij =  (4) (5) By modifying the expansion factor, one can an achieve increase of RR and decrease of CR or vice versa. The expansion factor can be selected for each feature individually. Vector wj is stored as the user template.

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