New Machine Learning Data Have Been Reported by Researchers at Wenzhou Universit y (Anti-machine-learning-attack Strong Puf Design Based On Multi-path Delay Sele ction Strategy)
New Machine Learning Data Have Been Reported by Researchers at Wenzhou Universit y (Anti-machine-learning-attack Strong Puf Design Based On Multi-path Delay Sele ction Strategy)
温州大学的研究人员报告了新的机器学习数据(基于多路径延迟选择策略的抗机器学习攻击强Puf设计)
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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-调查人员发布马学习的新报告。根据新闻报道在中国温州，NewsRx编辑的研究指出，“物理不可克隆功能(PUF)在信息安全方面有很大的应用潜力。但是，St Rong PUFs在信息安全领域有着广泛的应用前景。容易受到机器学习(ML)建模攻击,严重限制了其在设备中的应用认证。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Wenzhou, People’s Republic of China, by NewsRx editors, research stated, “Physical unclonable functions (PUF) have significant potential for application in information security. However, st rong PUFsare vulnerable to machine learning (ML) modeling attacks, which severe ly limit their application in deviceauthentication.”
Key words
Wenzhou/People’s Republic of China/Asi a/Cybersecurity/Cyborgs/Emerging Technologies/Machine Learning/Wenzhou Univ ersity
NETL
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