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针对恶意统一资源定位器 (URL) 的智能识别和分类系统

Qasem Abu Al-Haija1, Mustafa Al-Fayoumi1

  • 1Department of Cybersecurity, Princess Sumaya University for Technology (PSUT), Amman, Jordan.

Neural computing & applications
|June 26, 2023
PubMed
概括

本研究介绍了一种机器学习系统,用于检测恶意统一资源定位器 (URL). 集成包装树 (En_Bag) 方法在识别和分类恶意URL方面取得了很高的准确性.

关键词:
良性网址 (benign URLs) 是一种良性网址.分类 分类 分类 分类 分类.损坏的 URL 位置.检测 检测 检测 检测 检测机器学习 机器学习恶意软件的网址 URL.网络鱼网址的网址.垃圾邮件的URL是垃圾邮件的URL统一的资源定位器 (URL)

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