Abstract: The article reflects the use of neural network technologies to determine the facts of falsification of the contents of video sequences. In the modern world, new technologies have become an integral part of the multimedia environment, but their proliferation has also created a new threat – the possibility of misuse to falsify the contents of video sequences. This leads to serious problems, such as the spread of fake news and misinformation of society. The scientific article examines this problem and determines the need to use neural networks to solve it. In comparison with other existing models and approaches, neural networks have high efficiency and accuracy in detecting video data falsification due to their ability to extract complex features and learn from large amounts of source data, which is especially important when reducing the resolution of the analyzed video sequence. Within the framework of this work, a mathematical model for identifying the falsification of audio and video sequences in video recordings is presented, as well as a model based on a three-dimensional convolutional neural network to determine the fact of falsification of a video sequence by analyzing the contents of individual frames. Within the framework of this work, it was proposed to consider the problem of identifying falsifications in video recordings as a joint solution to two problems: identification of falsification of audio and video sequences, and the resulting problem itself was transformed into a classical classification problem. Any video recording can be assigned to one of the four groups described in the work. Only the videos belonging to the first group are considered authentic, and all the others are fabricated. To increase the flexibility of the model, probabilistic classifiers have been added, which allows to take into account the degree of confidence in the predictions. The peculiarity of the resulting solution is the ability to adjust the threshold values, which allows to adapt the model to different levels of rigor depending on the task. The architecture of a three-dimensional convolutional neural network, including a preprocessing layer and a neural network layer, is proposed to determine fabricated photoreceads. The resulting model has a sufficient degree of accuracy in determining falsified video sequences, taking into account a significant decrease in frame resolution. Testing of the model on a training dataset showed the proportion of correct detection of video sequence falsification above 70%, which is noticeably better than guessing. Despite the sufficient accuracy, the model can be refined to more significantly increase the proportion of correct predictions.

Abstract: The purpose of this article is to consider the correlation of the performance of computational load balancing algorithms for globally distributed computing systems implementing the principle of volunteer computing and the basic attributes of a distributed system. As the main considered parameters the author examines file system structure and the type of network protocol. The object of the study is a globally distributed computing system with scheduling nodes loading. The subject of the study are the balancing methods of loading units of the system, implementing the principle of dynamic computational load balancing strategy. In this article, the methodological basis of the article makes methods of fundamental and applied sciences: analysis methods, methods of mathematical statistics, simulation modeling. The author suggests a model of node computational load in form of nonlinear piecewise-stationary model. The paper shows a method of computing experiment to determine the effectiveness of the balancing algorithms. The author develops a simulation model of distributed complex with the possibility of setting the basic system parameters computer system  and assess their impact on system response time. It is shown that a particular impact on the efficiency of load balancing algorithms have such parameters as file system structure and the type of network protocol. Thus, the necessity of taking into account these parameters to ensure the adequacy of the developed model of the distributed computing system implemented on the basis of volunteer computing.