Robotics & Machine Learning Daily News2024,Issue(Jun.17) :39-40.

New Findings from University of Naples Federico II Describe Advances in Artificial Intelligence (Explainability In Ai-based Behavioral Malware Detection Systems )

那不勒斯大学Federico II的新发现描述了人工智能的进展(基于人工智能的行为恶意软件检测系统的可解释性)

Robotics & Machine Learning Daily News2024,Issue(Jun.17) :39-40.

New Findings from University of Naples Federico II Describe Advances in Artificial Intelligence (Explainability In Ai-based Behavioral Malware Detection Systems )

那不勒斯大学Federico II的新发现描述了人工智能的进展(基于人工智能的行为恶意软件检测系统的可解释性)

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摘要

由机器人与机器学习每日新闻的新闻记者兼新闻编辑-研究人员详细介绍了人工智能的新数据。根据Newsrx记者在意大利那不勒斯的新闻报道,研究表明,“如今,我们的安全和隐私受到恶意软件程序的严重威胁,这些恶意软件旨在窃取我们的机密数据,使我们的系统停止运行。而传统的基于签名的恶意软件检测方法或统计分析已被证明是有效和耗时的,最近数据驱动的人工智能(AI)技术,即

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artific ial Intelligence. According to news reporting originating in Naples, Italy, by N ewsRx journalists, research stated, “Nowadays, our security and privacy are stro ngly threatened by malware programs which aim to steal our confidential data and make our systems out of service, among other things. While traditional signatur e -based malware detection methods or statistical analysis have proven to be ine ffective and time-consuming, recently data -driven Artificial Intelligence (AI) techniques, i.e.”

Key words

Naples/Italy/Europe/Artificial Intelligence/Cybersecurity/Emerging Technologies/Machine Learning/University of Naples Federico II

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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