The new common approach for integrity checking of digital images is developed. The new features of formal parameters defining image are revealed, theoretically grounded and practically tested. The characteristics of the mutual arrangement of left and right singular vectors corresponding to the largest singular value of the image’s matrix (block of matrix) and the vector composed of singular numbers is obtained. Formal parameters are obtained using normal singular decomposition of matrix (block of matrix) which is uniquely determined. It is shown that for most blocks of original image (no matter lossy or lossless) the angle between the left (right) mentioned singular vector and vector composed of singular numbers is defined by the angle between the n-optimal vector and the vector of standard basis of the range corresponding dimension. It is shown that the determined feature brakes for the mentioned formal parameters in a non-original image. This shows the integrity violation of the image, i.e. the existence of the additional information embedded using steganography algorithms. So this can be used as a basis for development of new universal steganography methods and algorithms, and one example of the realization is proposed. The efficiency of the proposed algorithm won’t depend on the details of steganography method used for embedding. All the obtained results can be easily adapted for the digital video and audio analysis.

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Video surveillance has become an important constituent part of the integrated security system of nuclear power plants. Due to this, the integrity and authenticity of the video transmitted by the surveillance camera are extremely important, and so is the possibility to identify violations of these categories of information in real time. The authors propose a new method to detect one way of violating the integrity of the video sequence — “camera loop” hijacking. The proposed method based on identifying the perturbation in matrix of the current frame of the original video sequence in transition to the next frame ensures the efficiency of the method that is not dependent on the specifics and characteristics of the analyzed video sequence. The high efficiency of the method is confirmed by results of a computational experiment, under which type I and type II errors were not found. The practical value of the proposed method is the possibility of its work in real time because it is a polynomial of degree 1, as well as the simplicity and multiplatform implementation.

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