首页|Researcher at Institute of Information Technology Describes Research in Artifici al Intelligence (UAV networks DoS attacks detection using artificial intelligenc e based on weighted machine learning)
Researcher at Institute of Information Technology Describes Research in Artifici al Intelligence (UAV networks DoS attacks detection using artificial intelligenc e based on weighted machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting from Baku, Azerbaijan, by NewsRx journalists, research stated, “While Unmanned Aerial Vehicles (UAVs) have found applications across numerous industries, they still remain vulnerable to various cybersecurity challenges. Different types of cyberattacks target UAVs.” Our news journalists obtained a quote from the research from Institute of Inform ation Technology: “Early detection of these cyberattacks is considered the most important step in ensuring the cybersecurity of UAVs. In this article, an artifi cial intelligence method based on machine learning was developed for detecting d ifferent types of Denial of Service (DoS) attacks targeting the UAV network. Ini tially in this work, feature selection methods are implemented to select the mos t important features. Then, machine learning methods are used to classify attack s. According to the conducted experiments, the proposed method outperformed othe rs with an accuracy of 99.51 % and a prediction time of 0.1 s. Add itionally, a novel dataset is used in this work, which offers several advantages .”
Institute of Information TechnologyBak uAzerbaijanAsiaArtificial IntelligenceCybersecurityCyborgsEmerging T echnologiesMachine Learning
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