边缘计算和深度学习的物联网数据保护和网络空间治理

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Zhi Li, Yuemeng Ge, Min Jia, Yanrui Xu
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引用次数: 1

摘要

其目的是应对高信息时代背景下的网络安全问题,确保基于互联网技术的物联网(IoT)技术的普及,保护国家和个人的信息、生命和财产安全。首先,介绍了边缘计算和深度学习技术的原理和优势。然后,介绍了物联网数据保护的现行法律,并讨论了物联网数据涉及的道德和伦理问题。最后,对中欧网络空间治理的研究成果进行了分析。结果显示,不了解数据保护法规和不关注法规的受访者分别占27%和18%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data protection of internet of things for edge computing and deep learning and governance of cyberspace
The purpose is to deal with the network security problems in the background of the high information age, ensure the popularisation of Internet of things (IoT) technology based on Internet technology, and protect the information, life and property security of countries and individuals. First, the principle and advantages of edge computing and deep learning technology are described. Then, the current laws of IoT data protection are introduced, and the moral and ethical issues involved in IoT data are discussed. Finally, the research results of cyberspace governance in China and Europe are studied. The results show that the respondents who do not know anything about the data protection regulations and do not focus on the regulations are 27% and 18%, respectively.
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来源期刊
International Journal of Grid and Utility Computing
International Journal of Grid and Utility Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
1.30
自引率
0.00%
发文量
79
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