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Data from Department of Computer Science and Engineering Provide New Insights into Security and Communication Networks (EFSDNN: An Ensemble Feature Selection-Based Deep Learning Approach to Network Intrusion Detection System)

机译:来自计算机科学和工程系的数据为安全和通信网络提供了新的见解(EFSDNN:一种基于合奏特征选择的基于特征的深度学习方法,用于网络入侵检测系统)

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摘要

By a News Reporter-Staff News Editor at Network Daily News - New research on security and communication networks is the subject of a new report. According to news reporting from the Department of Computer Science and Engineering by NewsRx journalists, research stated, “In recent years, the scale of networks has substantially evolved due to the rapid development of infrastructures in real networks.”
机译:由Network Daily News的新闻记者播放器新闻编辑 - 安全和通信网络的新研究是一份新报告的主题。 根据NewsRX记者的计算机科学和工程系的新闻报道,研究指出:“近年来,由于真实网络中基础设施的快速发展,网络的规模已大大发展。”

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