首页|Researcher at Financial University under the Government of the Russian Federation Describes Research in Machine Learning (Detection of internal security incidents in cyberphysical systems)
Researcher at Financial University under the Government of the Russian Federation Describes Research in Machine Learning (Detection of internal security incidents in cyberphysical systems)
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Researchers detail new data in artificial intelligence. According to news reporting out of Financial University under the Government of the Russian Federation by NewsRx editors, research stated, “This paper addresses the issue of internal security breaches in cyber-physical systems framing it as an anomaly detection problem within the framework of machine learning models.” Our news journalists obtained a quote from the research from Financial University under the Government of the Russian Federation: “The use of powerful mathematical apparatus embedded in the structure of machine learning models, including models based on artificial neural networks, allows building an autonomous system for detecting internal security breaches with minimal reliance on expert assessments. The determination of user abnormality is made on the basis of average data on log entries of actions in the system identified as abnormal, as well as on statistical data on the number of such entries for each user.”
Financial University under the Government of the Russian FederationCybersecurityCyborgsEmerging TechnologiesMachine Learning
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