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2024: Developing an innovative method to detect cyber attacks on industrial enterprises using digital vision
Scientists of the St. Petersburg Federal Research Center of the Russian Academy of Sciences in December 2024 presented a new technology for detecting cyber attacks on industrial infrastructure. The system uses the conversion of network traffic into images for subsequent analysis using computer vision.
According to TASS, the development allows you to visualize arrays of data on network traffic in images with shades of gray, where each pixel corresponds to a specific parameter. Evgenia Novikova, senior researcher at the Laboratory of Computer Security Problems of St. Petersburg Federal Research Center of the Russian Academy of Sciences, emphasized that this method differs significantly from traditional statistical analysis.
The results of numerous experiments confirmed the effectiveness of the new technology in distinguishing the standard operation of the system from the state of hacking. The method also demonstrates an increased rate of attack detection compared to traditional approaches.
Igor Sayenko, chief researcher at the Laboratory of Computer Security Problems of St. Petersburg Federal Research Center of the Russian Academy of Sciences, noted that RSF the complex of methods developed with the support of the grant is universal and can be used to analyze any network traffic based on the TCP/IP protocol.
The system provides protection against unauthorized access to confidential data and prevents the substitution of information critical for process control. The technology is especially relevant for industrial enterprises, where data security directly affects production processes.
St. Petersburg Federal Research Center of the Russian Academy of Sciences is a leading Russian scientific institution in the field of interdisciplinary research of information technologies and automation. The Center is also engaged in the development of digital solutions to improve agricultural efficiency and ensure environmental safety.[1]
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