Russian Federation
Russian Federation
UDC 614.8
Abstract: The paper discusses the development of a comprehensive statistical steganography detection tool and its implementation in the module for analyzing the reliability of graphic data from automated control systems and ITS. The purpose of this implementation is to verify the authenticity and confirm the reliability of graphic data circulating in the system, received from machine vision devices and other means of image recording and image sensors, and to improve the reliability of automated systems. The developed software steganography detector has been implemented in the form of an API server. This allows the detector to be integrated into an automated system circuit and perform steganographic analysis in automatic mode. The output of this analysis is binary, indicating the presence or absence of embedded data in the analyzed image files. The developed steganography detector is represented by the Stego Revealer softwarecomplex, which is registered with Rospatent.This complex demonstrates the capabilities of steganographic analysis on a test bench, with a performance of 656 gigaflops of images with a resolution of approximately 1.2 megapixels in 300 ms. It also effectively processes a large number of incoming requests simultaneously, up to 100. Concurrently, the server demonstrates a capacity to endure a workload of up to 10 RPS, exhibiting a 2% performance decline. This facilitates the real-time analysis of images using steganography, particularly when employing advanced server microprocessor technology.
steganalysis; steganography; steganography detector; images; automated systems
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