Robotics & Machine Learning Daily News2024,Issue(Jul.4) :84-85.

New Machine Learning Study Results Reported from Department of Electrical and El ectronics Engineering (A Systematic Review on Network Intrusion Detection System based on machine learning and deep learning approach)

机电工程系机器学习研究新成果(基于机器学习和深度学习方法的网络入侵检测系统综述)

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :84-85.

New Machine Learning Study Results Reported from Department of Electrical and El ectronics Engineering (A Systematic Review on Network Intrusion Detection System based on machine learning and deep learning approach)

机电工程系机器学习研究新成果(基于机器学习和深度学习方法的网络入侵检测系统综述)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑每日新闻-关于人工智能ce的详细数据已经呈现。根据NewsRx记者在选举和电子工程系的新闻报道,研究称,“今天对计算机网络的安全攻击变得更加复杂和严重,这促使安全研究人员使用各种机器学习技术来保护客户的信息和声誉。检测网络渗透一直是一项艰巨的任务。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news reporting from the Department of Elect rical and Electronics Engineering by NewsRx journalists, research stated, “Today ’s security attacks on computer networks are becoming more complex and severe, which has prompted security researchers to use a variety of machine learning tech niques to safeguard the information and reputation of their clients. Detecting n etwork infiltration has long been a difficult task.”

Key words

Department of Electrical and Electronics Engineering/Cybersecurity/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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