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Copy-move forgery is one of the most commonly used forgeries in digital images, in which some regions of a digital image is coped and pasted to another part of the image with the aim of concealing certain features or objects in the original images. In this paper, a novel copy-move forgery detection scheme in digital images is proposed. It treats the digital images as high dimensional data and uses...
For large data-set, the speed of algorithms for support vector machines is one restriction for their performances; besides, noise and outliers which the data-set contained also influenced their capabilities greatly. This paper proposes an effective method for weighted support vector regression (SWSVR): the simplification of the original samples (contain noise and outliers) is taken firstly; then,...
Insider attacks is a well-known problem acknowledged as a threat as early as 1980s. The threat is attributed to legitimate users who take advantage of familiarity with the computational environment and abuse their privileges, can easily cause significant damage or losses. In this paper, we present an active defense model and framework of insider threat detection and sense. Firstly, we describe the...
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