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Researchers at Beijing University of Posts and Telecommunications Release New Study Findings on Sensor Research (Phishing Website Detection Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning)

机译:北京大学的研究人员的职位电信发布新的研究结果(基于网络钓鱼网站检测传感器研究在深卷积神经网络和随机的森林系综学习)

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By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on sensor research. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Phishing has become one of the biggest and most effective cyber threats, causing hundreds of millions of dollars in losses and millions of data breaches every year.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员发布的新报告传感器的研究。来自北京,中华人民共和国中国NewsRx记者、研究说,“钓鱼已经成为其中一个最大和最有效的网络威胁,造成成百上千的数百万美元的损失,数以百万计的每年数据泄露。”

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