Recent advances in artificial intelligence, edge computing, and big data have enabled extensive reasoning capabilities at the edge of the network. Edge servers are now capable of extracting meaningful intelligence from IoT nodes, which can benefit a very diverse set of IoT applications, including smart carrier and distribution networks (power, people, water, and food), smart agriculture and manufacturing, and healthcare and maintenance. Unfortunately, as the infrastructures become more intelligent, they also become more vulnerable to disruption due to cyberattacks and information leakage. Furthermore, the rich data gathering and analytics involved in driving the intelligent management substantially raise the stakes in terms of privacy violation of the people and organizations that it serves.

中文翻译：

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关于分布式边缘计算和不断发展的物联网中的隐私和安全的客座社论特刊


人工智能、边缘计算和大数据的最新进展使得网络边缘具有广泛的推理能力。边缘服务器现在能够从物联网节点提取有意义的情报，这可以使一系列非常多样化的物联网应用受益，包括智能运营商和配电网络（电力、人员、水和食品）、智能农业和制造以及医疗保健和维护。不幸的是，随着基础设施变得更加智能，它们也变得更容易因网络攻击和信息泄漏而受到破坏。此外，推动智能管理所涉及的丰富数据收集和分析大大提高了其所服务的人员和组织的隐私侵犯风险。