Robotics & Machine Learning Daily News2024,Issue(Nov.22) :32-33.

Researcher from King Abdulaziz University Details Findings in Machine Learning ( Malware Classification Using Few-Shot Learning Approach)

阿卜杜勒阿齐兹国王大学的研究员详细介绍了机器学习的发现(使用少镜头学习方法的恶意软件分类)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :32-33.

Researcher from King Abdulaziz University Details Findings in Machine Learning ( Malware Classification Using Few-Shot Learning Approach)

阿卜杜勒阿齐兹国王大学的研究员详细介绍了机器学习的发现(使用少镜头学习方法的恶意软件分类)

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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《新闻日报》-人工智能新研究是一篇新报道的主题.据新闻报道NewsRx记者从沙特阿拉伯J Eddah报道,研究称,“恶意软件”针对处理器微结构的detecti on作为一种潜在的有效提高计算机系统安全性的途径。硬件性能计数器数据由机器使用安全机制中的学习算法,如基于硬件的恶意软件检测,用于分类和检测恶意软件。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on artificial intelligenc e is the subject of a new report. According to newsreporting originating from J eddah, Saudi Arabia, by NewsRx correspondents, research stated, “Malwaredetecti on, targeting the microarchitecture of processors, has recently come to light as a potentially effectiveway to improve computer system security. Hardware Perfo rmance Counter data are used by machinelearning algorithms in security mechanis ms, such as hardware-based malware detection, to categorize anddetect malware.”

Key words

King Abdulaziz University/Jeddah/Saudi Arabia/Asia/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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