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首页> 外文期刊>IEEE transactions on industrial informatics >Guest Editorial: Special Section on Emerging Privacy and Security Issues Brought by Artificial Intelligence in Industrial Informatics
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Guest Editorial: Special Section on Emerging Privacy and Security Issues Brought by Artificial Intelligence in Industrial Informatics

机译：嘉宾社论：人工智能在工业信息学中提出的新兴隐私与安全问题的特刊

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摘要

Artificial Intelligence (AI) based technologies have deeply changed people's daily lives. There are many AI-based applications used in industrial scenarios such as Internet of Things (IoT), smart grids, and edge computing. Although bringing AI into industrial scenarios could improve the performance in many aspects, new security and privacy issues are also introduced consequently. Subsequently, machine learning technologies require a training process which introduces the protection problems in the training data and algorithms. As many machine learning and deep learning models are vulnerable against well-designed adversarial input samples, outsourcing data and algorithms for training will require the integrity of the training data. Also, data privacy of the end users must be protected. On the other hand, traditional solutions for industrial system security could also be enhanced by these AI schemes. The papers in this special section focus on emerging privacy and security issues brought by Artificial Intelligence in industrial informatics.
机译：基于人工智能（AI）的技术深深地改变了人们的日常生活。在工业场景中使用的基于AI的基于AI的应用程序（IOT），智能电网和边缘计算。虽然将AI带入工业场景可以提高许多方面的性能，但因此也介绍了新的安全和隐私问题。随后，机器学习技术需要培训过程，介绍训练数据和算法中的保护问题。由于许多机器学习和深度学习模型易受设计良好的对抗性输入样本，外包数据和用于训练的算法需要培训数据的完整性。此外，必须保护最终用户的数据隐私。另一方面，这些AI方案也可以增强用于工业系统安全的传统解决方案。本特别部分的论文侧重于工业信息学中人工智能所带来的新兴隐私和安全问题。

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