Robotics & Machine Learning Daily News2024,Issue(Nov.8) :17-17.

Data on Machine Learning Described by Researchers at Sulaimani Polytechnic Unive rsity (Innovative Machine Learning Strategies for DDoS Detection: A Review)

Sulaimani研究人员描述的机器学习数据理工大学(创新机器学习策略)DDoS检测技术综述

Robotics & Machine Learning Daily News2024,Issue(Nov.8) :17-17.

Data on Machine Learning Described by Researchers at Sulaimani Polytechnic Unive rsity (Innovative Machine Learning Strategies for DDoS Detection: A Review)

Sulaimani研究人员描述的机器学习数据理工大学(创新机器学习策略)DDoS检测技术综述

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍了人工智能的新数据。根据消息来源来自Sulaimani理工大学的NewsRx记者的研究表明:“这是一项广泛的调查。”研究了机器学习(ML)方法在分布式服务缺陷检测中的应用(DDoS)次袭击。传统入侵检测系统在应用层DDoS攻击中的因为它们针对的是使用标准传输控制协议连接的合法网络流量表单。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news originatingfrom Sulaimani Polytechnic Unive rsity by NewsRx correspondents, research stated, “This is a broad surveythat in vestigates the use of machine learning (ML) methods for detecting distributed de nial of service(DDoS) attacks. Traditional intrusion detection systems face dif ficulties in application-layer DDoS attacksbecause they target legal web traffi c forms using standard transmission control protocol connections.”

Key words

Sulaimani Polytechnic University/Cybers ecurity/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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