首页|New Engineering Findings from Northeastern University of Qinhuangdao Outlined (M ultiple Classification Algorithm Based On Ensemble Learning for Intrusion Detect ion)
New Engineering Findings from Northeastern University of Qinhuangdao Outlined (M ultiple Classification Algorithm Based On Ensemble Learning for Intrusion Detect ion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Engineering are presented in a new report. According to news reporting originatingin Qinhuangdao, People’s Republi c of China, by NewsRx journalists, research stated, “As one of thepromising tec hnologies for enhancing network security, network intrusion detection is crucial for accuratelyidentifying various network attacks. To advance the intrusion de tection capability, a multiple classificationensemble learning algorithm (MCELI D) is proposed by analyzing intrusion data from diverse perspectives.”
QinhuangdaoPeople’s Republic of ChinaAsiaEngineeringAlgorithmsCybersecurityNortheastern University of Qinhua ngdao
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