AI/Machine Learning for Internet of Dependable and Controllable Things
AI/Machine Learning for Internet of Dependable and Controllable Things
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DOI：
10.1145/3606042.3616460
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发表时间：
2023-10
期刊：
影响因子：
--
通讯作者：
H. Song
中科院分区：
文献类型：
--
作者：
H. Song
物联网（IoT）有可能实现各种应用程序和服务。但是，它还提出了安全，安全和隐私方面的巨大挑战。因此，有必要从物联网到可靠事物的互联网，这些物联网被定义为以非常值得信赖的方式设计，构建，部署和操作的物联网，以及可控事物的互联网，这被定义为以高度可控制的方式运行的物联网。人工智能（AI）和机器学习（ML）的大规模复兴为可靠和可控制的事物的互联网提供了巨大的机会，以及对可靠和可控制事物的互联网挑战。在本讲座中，我将通过审查和分类现有文献，评估机遇和挑战，并通过评估为可靠和可控制的事物的Internet启用AI/机器学习而确定趋势来介绍艺术状况。
The Internet of Things (IoT) has the potential to enable a variety of applications and services. However, it also presents grand challenges in security, safety, and privacy. Therefore, there is a need for moving from IoT to Internet of Dependable Things, which is defined as Internet of Things which is designed, built, deployed and operated in a highly trustworthy manner, and Internet of Controllable Things, which is defined as Internet of Things which is operated in a highly controllable manner. A massive resurgence of artificial intelligence (AI) and machine learning (ML) presents tremendous opportunities for Internet of Dependable and Controllable Things and as well as significant challenges to Internet of Dependable and Controllable Things. In this lecture, I will present the state of the art by reviewing and classifying the existing literature, evaluate the opportunities and challenges, and identify trends by evaluating what needs to be done to enable AI/Machine Learning for Internet of Dependable and Controllable Things.