首页|New Data from Shanghai Jiao Tong University Illuminate Findings in Machine Learning (A Strong Physical Unclonable Function With Machine Learning Immunity for Internet of Things Application)
New Data from Shanghai Jiao Tong University Illuminate Findings in Machine Learning (A Strong Physical Unclonable Function With Machine Learning Immunity for Internet of Things Application)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originating fromShanghai, People’s Republic of China, by NewsRx correspondents, research stated, “The physical unclonablefunctions (PUFs) are novel cryptographic primitives in modern hardware security systems. Compared withtraditional alternatives based on digital keys and non-volatile memory (NVM), the PUF system shows greatunclonability, high efficiency, and physical attack resilience.”
ShanghaiPeople’s Republic of ChinaAsiaCybersecurityCyborgsEmerging TechnologiesMachine LearningShanghai Jiao Tong University
NETL
NSTL
